Merge branch 'lts/v0.1' into unstable

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Markus Maiwald 2026-02-04 05:58:45 +01:00
commit 30fa2693cc
Signed by: markus
GPG Key ID: 07DDBEA3CBDC090A
14 changed files with 2989 additions and 61 deletions

194
README.md
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@ -1,87 +1,159 @@
# Libertaria SDK # Libertaria SDK
**The Core Protocol Stack for Libertaria Applications** > Sovereign Infrastructure for Autonomous Agents
**Version:** 1.0.0-beta ("Shield") [![Tests](https://img.shields.io/badge/tests-166%2F166%20passing-success)](https://github.com/MarkusMaiwald/libertaria-sdk)
**License:** LUL-1.0 [![Zig](https://img.shields.io/badge/Zig-0.15.2-orange.svg)](https://ziglang.org)
**Status:** 🛡️ **AUTONOMOUS IMMUNE RESPONSE: OPERATIONAL** (100% Complete) [![License](https://img.shields.io/badge/license-MIT%20%2B%20Commons%20Clause-blue)](LICENSE)
**Sovereign; Kinetic; Anti-Fragile.**
--- ---
## 🚀 The Autonomous Immune System ## What is Libertaria?
Libertaria SDK is not just a protocol; it is a **self-defending nervous system**. Libertaria is a stack for building sovereign agent networks — systems where:
We have achieved the **Vertical Active Defense Loop**: - **Exit is Voice**: Cryptographic guarantees, not platform promises
- **Profit is Honesty**: Economic incentives align with truth
- **Code is Law**: Protocols, not platforms, govern behavior
1. **Detect**: L1 QVL Engine uses Bellman-Ford to mathematically prove betrayal cycles (sybil rings). This SDK implements the **L1 Identity Layer** with:
2. **Prove**: The engine serializes the cycle into a cryptographic **Evidence Blob**. - Ed25519 sovereign identities with rotation/burn
3. **Enforce**: The L2 Policy Agent issues a **SlashSignal** containing the Evidence Hash. - Trust Graph (QVL) with betrayal detection
4. **Isolate**: The L0 Transport Layer reads the signal at wire speed and **Quarantines** the traitor. - GQL (ISO/IEC 39075:2024 compliant) query interface
- Persistent storage with Kenya Rule compliance
This happens autonomously, in milliseconds, without human intervention or central consensus.
---
## The Stack
### **L0 Transport Layer (`l0-transport/`)**
- **Protocol**: LWF (Libertaria Wire Frame) RFC-0000
- **Features**:
- UTCP (Unreliable Transport)
- OPQ (Offline Packet Queue) with 72h WAL
- **QuarantineList** & Honeypot Mode
- ServiceType 0x0002 (Slash) Prioritization
### **L1 Identity Layer (`l1-identity/`)**
- **Protocol**: SoulKey RFC-0250 + QVL RFC-0120
- **Features**:
- **CompactTrustGraph**: High-performance trust storage
- **RiskGraph**: Behavioral analysis
- **Bellman-Ford**: Negative Cycle Detection
- **Slash Protocol**: RFC-0121 Evidence-based punishment
### **L2 Membrane Agent (`membrane-agent/`)**
- **Language**: Rust
- **Role**: Policy Enforcement & Strategic Logic
- **Capability**: Auto-negotiates PQXDH, manages Prekeys, executes Active Defense.
---
## Technical Validation
| Capability | Status | Implementation |
|---|---|---|
| **Binary Size** | ✅ <200 KB | Strict Kenya Rule Compliance |
| **Tests** | ✅ 173+ | 100% Coverage of Core Logic |
| **Detection** | ✅ Mathematical | Bellman-Ford (O(VE)) |
| **Response** | ✅ Autonomous | PolicyEnforcer (Rust) |
| **Evidence** | ✅ Cryptographic | Cycle Serialization |
--- ---
## Quick Start ## Quick Start
### Build L1 Engine (Zig)
```bash ```bash
# Clone
git clone https://github.com/MarkusMaiwald/libertaria-sdk.git
cd libertaria-sdk
# Build
zig build zig build
# Test (166/166 passing)
zig build test
``` ```
### Run Active Defense Simulation (Rust) ---
## Architecture
```
┌─────────────────────────────────────────────────────────────┐
│ Application Layer │
├─────────────────────────────────────────────────────────────┤
│ Libertaria SDK │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ Identity │ │ Trust Graph │ │ GQL │ │
│ │ (identity) │ │ (qvl) │ │ (gql/*.zig) │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
├─────────────────────────────────────────────────────────────┤
│ Janus Standard Library │
├─────────────────────────────────────────────────────────────┤
│ Janus Compiler (:service) │
└─────────────────────────────────────────────────────────────┘
```
---
## Modules
### Identity (`l1-identity/`)
- `crypto.zig` — Ed25519 signatures, key rotation
- `did.zig` — Decentralized identifiers
- `soulkey.zig` — Deterministic key derivation
- `entropy.zig` — Sovereign randomness
### QVL — Quasar Vector Lattice (`l1-identity/qvl/`)
- `storage.zig` — PersistentGraph with libmdbx
- `betrayal.zig` — Bellman-Ford negative cycle detection
- `pathfinding.zig` — A* trust path discovery
- `feed.zig` — L4 temporal event store (DuckDB + LanceDB)
- `gql/` — ISO/IEC 39075:2024 Graph Query Language
- `lexer.zig` — Tokenizer
- `parser.zig` — Recursive descent parser
- `ast.zig` — Abstract syntax tree
- `codegen.zig` — GQL → Zig transpiler
---
## GQL Example
```zig
const gql = @import("qvl").gql;
// Parse GQL query
const query_str = "MATCH (n:Identity)-[t:TRUST]->(m) WHERE n.did = 'alice' RETURN m";
var query = try gql.parse(allocator, query_str);
defer query.deinit();
// Transpile to Zig code
const zig_code = try gql.generateZig(allocator, query);
defer allocator.free(zig_code);
```
---
## Kenya Compliance
| Metric | Target | Status |
|--------|--------|--------|
| Binary Size (L1) | < 200KB | 85KB |
| Memory Usage | < 10MB | ~5MB |
| Storage | Single-file | ✅ libmdbx |
| Cloud Calls | None | ✅ Offline-capable |
---
## Testing
```bash ```bash
cd membrane-agent # All tests
cargo test --test simulation_attack -- --nocapture zig build test
# Specific module
zig test l1-identity/qvl/gql/lexer.zig
zig test l1-identity/qvl/storage.zig
``` ```
*Watch the system detect a traitor and issue a death warrant in real-time.*
**Current Status:** 166/166 tests passing ✅
--- ---
## Documentation ## Related Projects
- [Project Status](./docs/PROJECT_STATUS.md) - [Janus Language](https://github.com/janus-lang/janus) — The foundation
- [RFC-0120: QVL](./docs/rfcs/RFC-0120_QVL.md) - [libertaria.blog](https://github.com/MarkusMaiwald/libertaria-blog) — This project's blog
- [RFC-0121: Slash](./docs/rfcs/RFC-0121_Slash.md) - [libertaria.bot](https://github.com/MarkusMaiwald/libertaria-bot) — Agent marketplace (coming soon)
--- ---
**Mission Accomplished.** ## Philosophy
Markus Maiwald & Voxis Forge. 2026.
### Collectivist Individualism
> Radical market innovation fused with extreme communal loyalty.
### The Kenya Rule
> If it doesn't run on a $5 Raspberry Pi, it doesn't run at all.
### Exit is Voice
> The right to leave is the foundation of digital sovereignty.
---
## License
MIT License + Libertaria Commons Clause
See [LICENSE](LICENSE) for details.
---
*Forge burns bright. The Exit is being built.*
⚡️

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@ -74,6 +74,20 @@ pub fn build(b: *std.Build) void {
.optimize = optimize, .optimize = optimize,
}); });
// RFC-0015: Transport Skins (MIMIC_DNS for DPI evasion)
const mimic_dns_mod = b.createModule(.{
.root_source_file = b.path("l0-transport/mimic_dns.zig"),
.target = target,
.optimize = optimize,
});
// RFC-0015: MIMIC_HTTPS with Domain Fronting
const mimic_https_mod = b.createModule(.{
.root_source_file = b.path("l0-transport/mimic_https.zig"),
.target = target,
.optimize = optimize,
});
const bridge_mod = b.createModule(.{ const bridge_mod = b.createModule(.{
.root_source_file = b.path("l2-federation/bridge.zig"), .root_source_file = b.path("l2-federation/bridge.zig"),
.target = target, .target = target,
@ -246,6 +260,51 @@ pub fn build(b: *std.Build) void {
qvl_ffi_lib.linkLibC(); qvl_ffi_lib.linkLibC();
b.installArtifact(qvl_ffi_lib); b.installArtifact(qvl_ffi_lib);
// ========================================================================
// L4 Feed Temporal Event Store
// ========================================================================
const l4_feed_mod = b.createModule(.{
.root_source_file = b.path("l4-feed/feed.zig"),
.target = target,
.optimize = optimize,
});
// L4 Feed tests (requires libduckdb at runtime)
const l4_feed_tests = b.addTest(.{
.root_module = l4_feed_mod,
});
l4_feed_tests.linkLibC(); // Required for DuckDB C API
const run_l4_feed_tests = b.addRunArtifact(l4_feed_tests);
// ========================================================================
// RFC-0015: Transport Skins (DPI Resistance)
// ========================================================================
const png_mod = b.createModule(.{
.root_source_file = b.path("l0-transport/png.zig"),
.target = target,
.optimize = optimize,
});
const transport_skins_mod = b.createModule(.{
.root_source_file = b.path("l0-transport/transport_skins.zig"),
.target = target,
.optimize = optimize,
});
transport_skins_mod.addImport("png", png_mod);
transport_skins_mod.addImport("mimic_dns", mimic_dns_mod);
transport_skins_mod.addImport("mimic_https", mimic_https_mod);
// Transport Skins tests
const png_tests = b.addTest(.{
.root_module = png_mod,
});
const run_png_tests = b.addRunArtifact(png_tests);
const transport_skins_tests = b.addTest(.{
.root_module = transport_skins_mod,
});
const run_transport_skins_tests = b.addRunArtifact(transport_skins_tests);
// ======================================================================== // ========================================================================
// Tests (with C FFI support for Argon2 + liboqs) // Tests (with C FFI support for Argon2 + liboqs)
// ======================================================================== // ========================================================================
@ -466,6 +525,9 @@ pub fn build(b: *std.Build) void {
test_step.dependOn(&run_l1_qvl_tests.step); test_step.dependOn(&run_l1_qvl_tests.step);
test_step.dependOn(&run_l1_qvl_ffi_tests.step); test_step.dependOn(&run_l1_qvl_ffi_tests.step);
test_step.dependOn(&run_l2_policy_tests.step); test_step.dependOn(&run_l2_policy_tests.step);
test_step.dependOn(&run_l4_feed_tests.step);
test_step.dependOn(&run_png_tests.step);
test_step.dependOn(&run_transport_skins_tests.step);
// ======================================================================== // ========================================================================
// Examples // Examples

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@ -0,0 +1,393 @@
# RFC-0015: Pluggable Transport Skins (PTS)
**Status:** Draft
**Author:** Frankie (Silicon Architect)
**Date:** 2026-02-03
**Target:** Janus SDK L0 Transport Layer
**Classification:** CRYPTOGRAPHIC / CENSORSHIP-RESISTANT
---
## Summary
Transport Skins provide **pluggable censorship resistance** for Libertaria's L0 Transport layer. Each "skin" wraps the standard LWF (Lightweight Wire Format) frame to mimic benign traffic patterns, defeating state-level Deep Packet Inspection (DPI) as deployed by China's GFW, Russia's RKN, Iran's Filternet, and similar adversaries.
**Core Innovation:** Per-session **Polymorphic Noise Generator (PNG)** ensures no two sessions ever exhibit identical traffic patterns.
---
## Threat Model
### Adversary Capabilities (GFW-Class)
| Technique | Capability | Our Counter |
|-----------|------------|-------------|
| Magic Byte Detection | Signature matching at line rate | Skins remove/replace magic bytes |
| TLS Fingerprinting (JA3/JA4) | Statistical TLS handshake analysis | utls-style parroting (Chrome/Firefox mimicry) |
| SNI Inspection | Cleartext server name identification | ECH (Encrypted Client Hello) + Domain Fronting |
| Packet Size Analysis | Fixed MTU detection | Probabilistic size distributions |
| Timing Correlation | Inter-packet timing patterns | Exponential/Gamma jitter |
| Flow Correlation | Long-term traffic statistics | Epoch rotation (100-1000 packets) |
| Active Probing | Sending test traffic to suspected relays | Honeytrap responses + IP blacklisting |
| DNS Manipulation | Poisoning, blocking, inspection | DoH (DNS-over-HTTPS) tunneling |
### Non-Goals
- **Traffic confirmation attacks** (end-to-end correlation): Out of scope; use L2 Membrane mixing
- **Physical layer interception**: Out of scope; requires steganographic hardware
- **Compromised endpoints**: Out of scope; requires TEE/SEV-SNP attestation
---
## Architecture
```
┌─────────────────────────────────────────────────────────────────────────┐
│ RFC-0015: TRANSPORT SKINS │
│ "Submarine Camouflage" │
├─────────────────────────────────────────────────────────────────────────┤
│ │
│ L3+ Application │
│ │ │
│ ▼ │
│ ┌─────────────────────────────────────────────────────────────────┐ │
│ │ LWF FRAME │ │
│ │ • 1350 bytes (configurable) │ │
│ │ • XChaCha20-Poly1305 encrypted │ │
│ │ • Magic bytes: LWF\0 (internal only) │ │
│ └─────────────────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────────────────────────────────────────────────────────┐ │
│ │ POLYMORPHIC NOISE GENERATOR (PNG) │ │
│ │ • ECDH-derived per-session seed │ │
│ │ • Epoch-based profile rotation (100-1000 packets) │ │
│ │ • Deterministic both ends (same seed = same noise) │ │
│ └─────────────────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────────────────────────────────────────────────────────┐ │
│ │ SKIN SELECTOR │ │
│ │ │ │
│ │ ┌─────────┐ ┌─────────────┐ ┌───────────┐ ┌───────────┐ │ │
│ │ │ RAW │ │MIMIC_HTTPS │ │MIMIC_DNS │ │MIMIC_VIDEO│ │ │
│ │ │ UDP │ │WebSocket/TLS│ │DoH Tunnel │ │HLS chunks │ │ │
│ │ └────┬────┘ └──────┬──────┘ └─────┬─────┘ └─────┬─────┘ │ │
│ │ │ │ │ │ │ │
│ │ └──────────────┴───────────────┴──────────────┘ │ │
│ │ │ │ │
│ │ Auto-selection via probing │ │
│ └─────────────────────────────────────────────────────────────────┘ │
│ │ │
│ ▼ │
│ NETWORK (ISP/GFW/RKN sees only the skin's traffic pattern) │
│ │
└─────────────────────────────────────────────────────────────────────────┘
```
---
## Polymorphic Noise Generator (PNG)
### Design Principles
1. **Per-session uniqueness:** ECDH handshake secret seeds ChaCha20 RNG
2. **Deterministic:** Both peers derive identical noise from shared secret
3. **Epoch rotation:** Profile changes every N packets (prevents long-term analysis)
4. **Distribution matching:** Sample sizes/timing from real-world captures
### Noise Parameters (Per Epoch)
```zig
pub const EpochProfile = struct {
// Packet size distribution
size_distribution: enum { Normal, Pareto, Bimodal, LogNormal },
size_mean: u16, // e.g., 1440 bytes
size_stddev: u16, // e.g., 200 bytes
// Timing distribution
timing_distribution: enum { Exponential, Gamma, Pareto },
timing_lambda: f64, // For exponential: mean inter-packet time
// Dummy packet injection
dummy_probability: f64, // 0.0-0.15 (0-15% fake packets)
dummy_distribution: enum { Uniform, Bursty },
// Epoch boundaries
epoch_packet_count: u32, // 100-1000 packets before rotation
};
```
### Seed Derivation
```
Session Secret (ECDH) → HKDF-SHA256 → 256-bit PNG Seed
┌───────────────────────┐
│ ChaCha20 RNG State │
└───────────────────────┘
┌───────────────────────┐
│ Epoch Profile Chain │
│ (deterministic) │
└───────────────────────┘
```
---
## Transport Skins
### Skin 0: RAW (Unrestricted Networks)
**Use case:** Friendly jurisdictions, LAN, high-performance paths
| Property | Value |
|----------|-------|
| Protocol | UDP direct |
| Port | 7844 (default) |
| Overhead | 0% |
| Latency | Minimal |
| Kenya Viable | ✅ Yes |
**Wire format:**
```
[LWF Frame: 1350 bytes]
```
---
### Skin 1: MIMIC_HTTPS (Standard Censorship Bypass)
**Use case:** GFW, RKN, corporate firewalls (90% coverage)
| Property | Value |
|----------|-------|
| Protocol | WebSocket over TLS 1.3 |
| Port | 443 |
| SNI | Domain fronting capable (ECH preferred) |
| Overhead | ~5% (TLS + WS framing) |
| Latency | +50-100ms |
| Kenya Viable | ✅ Yes |
**TLS Fingerprinting Defense:**
- utls-style parroting (exact Chrome/Firefox JA3 signatures)
- HTTP/2 settings matching browser defaults
- ALPN: `h2, http/1.1`
**Wire format:**
```
TLS 1.3 Record Layer {
Content Type: Application Data (23)
TLS Ciphertext: {
WebSocket Frame {
FIN: 1
Opcode: Binary (0x02)
Masked: 0 (server→client) / 1 (client→server)
Payload: [PNG Noise] + [LWF Frame]
}
}
}
```
**WebSocket Handshake (Cover):**
```
GET /api/v3/stream HTTP/1.1
Host: cdn.cloudflare.com
Upgrade: websocket
Connection: Upgrade
Sec-WebSocket-Key: <base64(random)>
Sec-WebSocket-Version: 13
User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64)...
```
---
### Skin 2: MIMIC_DNS (Deep Censorship Bypass)
**Use case:** UDP blocked, HTTPS throttled, Iran/Turkmenistan edge cases
| Property | Value |
|----------|-------|
| Protocol | DNS-over-HTTPS (DoH) |
| Endpoint | 1.1.1.1, 8.8.8.8, 9.9.9.9 |
| Overhead | ~300% (Base64url encoding) |
| Latency | +200-500ms |
| Kenya Viable | ⚠️ Marginal (bandwidth-heavy) |
**DNS Tunnel Defenses:**
- **DoH not raw DNS:** Blends with real DoH traffic
- **Query distribution:** Match real DoH query timing (not regular intervals)
- **Label entropy:** Use dictionary words for subdomain labels (not base32)
**Wire format:**
```
POST /dns-query HTTP/2
Host: cloudflare-dns.com
Content-Type: application/dns-message
Accept: application/dns-message
Body: DNS Message {
Question: <LWF fragment encoded as DNS query name>
QTYPE: TXT (or HTTPS for larger payloads)
}
```
---
### Skin 3: MIMIC_VIDEO (High-Bandwidth Bypass)
**Use case:** Video-streaming-whitelisted networks, QoS prioritization
| Property | Value |
|----------|-------|
| Protocol | HTTPS with HLS (HTTP Live Streaming) chunk framing |
| Mimics | Netflix, YouTube, Twitch |
| Overhead | ~10% (HLS `.ts` container) |
| Latency | +100-200ms |
| Kenya Viable | ✅ Yes |
**Wire format:**
```
HTTP/2 200 OK
Content-Type: video/mp2t
X-LWF-Sequence: <epoch_packet_num>
Body: [HLS MPEG-TS Container] {
Adaptation Field: [PNG padding]
Payload: [LWF Frame]
}
```
---
### Skin 4: STEGO_IMAGE (Nuclear Option)
**Use case:** Total lockdown, emergency fallback only
| Property | Value |
|----------|-------|
| Protocol | HTTPS POST to image hosting (Imgur, etc.) |
| Stego Method | Generative steganography (StyleGAN encoding) |
| Bandwidth | ~1 byte per image (extremely slow) |
| Latency | Seconds to minutes |
| Kenya Viable | ❌ Emergency only |
**Note:** Traditional LSB steganography is broken against ML detection. Use generative encoding only.
---
## Automatic Skin Selection
### Probe Sequence
```zig
pub const SkinProbe = struct {
/// Attempt skin selection with timeouts
pub async fn auto_select(relay: RelayEndpoint) !TransportSkin {
// 1. RAW UDP (fastest, 100ms timeout)
if (try probe_raw(relay, 100ms)) {
return .raw;
}
// 2. HTTPS WebSocket (500ms timeout)
if (try probe_https(relay, 500ms)) {
return .mimic_https(relay);
}
// 3. DNS Tunnel (1s timeout)
if (try probe_dns(relay, 1s)) {
return .mimic_dns(relay);
}
// 4. Nuclear option (no probe, async only)
return .stego_async(relay);
}
};
```
### Multi-Path Agility (MPTCP-Style)
```zig
pub const MultiSkinSession = struct {
primary: TransportSkin, // 90% bandwidth (HTTPS)
secondary: TransportSkin, // 10% bandwidth (DNS keepalive)
/// If primary throttled, signal via secondary
pub fn adapt_to_throttling(self: *Self) void {
if (self.primary.detect_throttling()) {
self.secondary.signal_endpoint_switch();
}
}
};
```
---
## Active Probing Defenses
### Honeytrap Responses
When probed without valid session state:
1. **HTTPS Skin:** Respond as legitimate web server (nginx default page)
2. **DNS Skin:** Return NXDOMAIN or valid A record (not relay IP)
3. **Rate limit:** Exponential backoff on failed handshakes
### Reputation Tokens
Prevent rapid relay scanning:
```
Client → Relay: ClientHello + PoW (Argon2, 100ms)
Relay → Client: ServerHello (only if PoW valid)
```
---
## Implementation Phases
### Phase 1: Foundation (Sprint 5)
- [ ] PNG core (ChaCha20 RNG, epoch rotation)
- [ ] RAW skin (baseline)
- [ ] MIMIC_HTTPS skin (WebSocket + TLS)
- [ ] utls fingerprint parroting
- [ ] Automatic probe selection
### Phase 2: Deep Bypass (Sprint 6)
- [ ] MIMIC_DNS skin (DoH tunnel)
- [ ] ECH support (Encrypted Client Hello)
- [ ] Active probing defenses
- [ ] Multi-path agility
### Phase 3: Advanced (Sprint 7)
- [ ] MIMIC_VIDEO skin (HLS framing)
- [ ] Distribution matching from real captures
- [ ] Steganography (generative only)
- [ ] Formal security audit
---
## Kenya Compliance Check
| Skin | RAM | Binary Size | Cloud Calls | Viable? |
|------|-----|-------------|-------------|---------|
| RAW | <1MB | +0KB | None | |
| MIMIC_HTTPS | <2MB | +50KB (TLS) | None (embedded TLS) | |
| MIMIC_DNS | <1MB | +10KB | DoH to public resolver | |
| MIMIC_VIDEO | <2MB | +20KB (HLS) | None | |
| STEGO | >100MB | +500MB (ML models) | Image host upload | ❌ |
---
## Security Considerations
### TLS Fingerprinting (Critical)
**Risk:** Rustls default JA3 signature is trivially blockable.
**Mitigation:** Mandatory utls parroting; exact Chrome/Firefox match.
### DNS Tunnel Detectability (High)
**Risk:** Base32 subdomains have high entropy (4.8 vs 2.5 bits/char).
**Mitigation:** Use DoH to major providers; dictionary-word labels.
### Flow Correlation (Medium)
**Risk:** Long-term traffic statistics identify protocol.
**Mitigation:** PNG epoch rotation; per-session uniqueness.
---
## References
1. **utls:** [github.com/refraction-networking/utls](https://github.com/refraction-networking/utls) — TLS fingerprint parroting
2. **Snowflake:** [Tor Project](https://snowflake.torproject.org/) — WebRTC pluggable transport
3. **Conjure:** [refraction.network](https://refraction.network/) — Refraction networking
4. **ECH:** RFC 9446 — Encrypted Client Hello
5. **DoH:** RFC 8484 — DNS over HTTPS
---
*"The submarine wears chameleon skin. The hull remains the same."*
⚡️

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@ -0,0 +1,202 @@
# RFC-0130: L4 Feed — Temporal Event Store
**Status:** Draft
**Author:** Frankie (Silicon Architect)
**Date:** 2026-02-03
**Target:** Janus SDK v0.2.0
---
## Summary
L4 Feed ist das temporale Event-Storage-Layer für Libertaria. Es speichert soziale Primitive (Posts, Reactions, Follows) mit hybridem Ansatz:
- **DuckDB:** Strukturierte Queries (Zeitreihen, Aggregations)
- **LanceDB:** Vektor-Search für semantische Ähnlichkeit
## Kenya Compliance
| Constraint | Status | Implementation |
|------------|--------|----------------|
| RAM <10MB | Planned | DuckDB in-memory mode, LanceDB mmap |
| No cloud | ✅ | Embedded storage only |
| <1MB binary | TBD | Stripped DuckDB + custom LanceDB bindings |
## Architecture
```
┌─────────────────────────────────────────────────────────────┐
│ L4 Feed Layer │
├─────────────────────────────────────────────────────────────┤
│ ┌──────────────┐ ┌──────────────┐ │
│ │ DuckDB │ │ LanceDB │ │
│ │ (events) │ │ (embeddings) │ │
│ ├──────────────┤ ├──────────────┤ │
│ │ - Timeline │ │ - ANN search │ │
│ │ - Counts │ │ - Similarity │ │
│ │ - Replies │ │ - Clustering │ │
│ └──────────────┘ └──────────────┘ │
│ │ │ │
│ └───────────┬───────────┘ │
│ │ │
│ ┌───────▼───────┐ │
│ │ FeedStore │ │
│ └───────────────┘ │
└─────────────────────────────────────────────────────────────┘
```
## Data Model
### Event Types
```zig
pub const EventType = enum {
post, // Original content
reaction, // like, boost, bookmark
follow, // Social graph edge (directed)
mention, // @username reference
hashtag, // #topic tag
edit, // Content modification
delete, // Tombstone (soft delete)
};
```
### FeedEvent Structure
| Field | Type | Description |
|-------|------|-------------|
| id | u64 | Snowflake ID (time-sortable, 64-bit) |
| event_type | EventType | Enum discriminator |
| author | [32]u8 | DID (Decentralized Identifier) |
| timestamp | i64 | Unix nanoseconds |
| content_hash | [32]u8 | Blake3 hash of canonical content |
| parent_id | ?u64 | For replies/threading |
| embedding | ?[384]f32 | 384-dim vector (LanceDB) |
| tags | []string | Hashtags |
| mentions | [][32]u8 | Referenced DIDs |
## DuckDB Schema
```sql
-- Events table (structured data)
CREATE TABLE events (
id UBIGINT PRIMARY KEY,
event_type TINYINT,
author BLOB(32),
timestamp BIGINT,
content_hash BLOB(32),
parent_id UBIGINT,
tags VARCHAR[],
embedding_ref INTEGER -- Index into LanceDB
);
-- Indexes for common queries
CREATE INDEX idx_author_time ON events(author, timestamp DESC);
CREATE INDEX idx_parent ON events(parent_id);
CREATE INDEX idx_time ON events(timestamp DESC);
-- FTS for content search (optional)
CREATE TABLE event_content (
id UBIGINT PRIMARY KEY REFERENCES events(id),
text_content VARCHAR
);
```
## LanceDB Schema
```python
# Python pseudocode for schema
import lancedb
from lancedb.pydantic import LanceModel, Vector
class Embedding(LanceModel):
id: int # Matches events.id
vector: Vector(384) # 384-dim embedding
# Metadata for filtering
event_type: int
author: bytes # 32 bytes DID
timestamp: int
```
## Query Patterns
### 1. Timeline (Home Feed)
```sql
SELECT * FROM events
WHERE author IN (SELECT following FROM follows WHERE follower = ?)
ORDER BY timestamp DESC
LIMIT 50;
```
### 2. Thread (Conversation)
```sql
WITH RECURSIVE thread AS (
SELECT * FROM events WHERE id = ?
UNION ALL
SELECT e.* FROM events e
JOIN thread t ON e.parent_id = t.id
)
SELECT * FROM thread ORDER BY timestamp;
```
### 3. Semantic Search (LanceDB)
```python
# Find similar posts
table.search(query_embedding) \
.where("event_type = 0") \ # Only posts
.limit(20) \
.to_pandas()
```
## Synchronization Strategy
1. **Write Path:**
- Insert into DuckDB (ACID transaction)
- Generate embedding (local model, ONNX Runtime)
- Insert into LanceDB (async, eventual consistency)
2. **Read Path:**
- DuckDB: Structured queries, counts, timelines
- LanceDB: Vector similarity, clustering
- Hybrid: Vector + time filter (LanceDB filter API)
## Implementation Phases
### Phase 1: DuckDB Core (Sprint 4)
- [ ] DuckDB Zig bindings (C API wrapper)
- [ ] Event storage/retrieval
- [ ] Timeline queries
- [ ] Thread reconstruction
### Phase 2: LanceDB Integration (Sprint 5)
- [ ] LanceDB Rust bindings (via C FFI)
- [ ] Embedding storage
- [ ] ANN search
- [ ] Hybrid queries
### Phase 3: Optimization (Sprint 6)
- [ ] WAL for durability
- [ ] Compression (zstd for content)
- [ ] Incremental backups
- [ ] RAM usage optimization
## Dependencies
| Library | Version | Purpose | Size |
|---------|---------|---------|------|
| DuckDB | 0.9.2 | Structured storage | ~15MB → 5MB stripped |
| LanceDB | 0.9.x | Vector storage | ~20MB → 8MB stripped |
| ONNX Runtime | 1.16 | Embeddings | Optional, ~50MB |
**Total binary impact:** ~13MB (DuckDB + LanceDB stripped, ohne ONNX)
## Open Questions
1. **Embedding Model:** All-MiniLM-L6-v2 (22MB) oder kleiner?
2. **Sync Strategy:** LanceDB als optionaler Index (graceful degradation)?
3. **Replication:** Event sourcing für Node-to-Node sync?
---
*Sovereign; Kinetic; Anti-Fragile.* ⚡️

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Feature: RFC-0015 Polymorphic Noise Generator (PNG)
As a Libertaria protocol developer
I want cryptographically secure per-session traffic shaping
So that state-level DPI cannot fingerprint or correlate sessions
Background:
Given the PNG is initialized with ChaCha20 RNG
And the entropy source is the ECDH shared secret
# ============================================================================
# Seed Derivation and Determinism
# ============================================================================
Scenario: PNG seed derives from ECDH shared secret
Given Alice and Bob perform X25519 ECDH
And the shared secret is 32 bytes
When Alice derives PNG seed via HKDF-SHA256
And Bob derives PNG seed via HKDF-SHA256
Then both seeds should be 256 bits
And the seeds should be identical
And the derivation should use "Libertaria-PNG-v1" as context
Scenario: Different sessions produce different seeds
Given Alice and Bob perform ECDH for Session A
And Alice and Bob perform ECDH for Session B
When PNG seeds are derived for both sessions
Then the seeds should be different
And the Hamming distance should be ~128 bits
Scenario: PNG seed has sufficient entropy
Given 1000 independent ECDH handshakes
When PNG seeds are derived for all sessions
Then no seed collisions should occur
And the distribution should pass Chi-square randomness test
# ============================================================================
# Epoch Profile Generation
# ============================================================================
Scenario: Epoch profile contains all noise parameters
Given a PNG with valid seed
When the first epoch profile is generated
Then it should contain size_distribution variant
And size_mean and size_stddev parameters
And timing_distribution variant
And timing_lambda parameter
And dummy_probability between 0.0 and 0.15
And epoch_packet_count between 100 and 1000
Scenario: Sequential epochs are deterministic
Given a PNG with seed S
When epoch 0 profile is generated
And epoch 1 profile is generated
And a second PNG with same seed S
When epoch 0 and 1 profiles are generated again
Then all corresponding epochs should match exactly
Scenario: Different seeds produce uncorrelated epochs
Given PNG A with seed S1
And PNG B with seed S2
When 10 epochs are generated for both
Then size_mean of corresponding epochs should not correlate
And timing_lambda values should not correlate
And Kolmogorov-Smirnov test should show different distributions
# ============================================================================
# Packet Size Noise
# ============================================================================
Scenario Outline: Packet size distributions match theoretical models
Given the epoch profile specifies <distribution> distribution
And size_mean = <mean> bytes
And size_stddev = <stddev> bytes
When 10000 packet sizes are sampled
Then the empirical distribution should match theoretical <distribution>
And the Chi-square test p-value should be > 0.05
Examples:
| distribution | mean | stddev |
| Normal | 1440 | 200 |
| Pareto | 1440 | 400 |
| Bimodal | 1200 | 300 |
| LogNormal | 1500 | 250 |
Scenario: Packet sizes stay within valid bounds
Given any epoch profile
When packet sizes are sampled
Then all sizes should be >= 64 bytes
And all sizes should be <= 1500 bytes (Ethernet MTU)
And sizes should never exceed interface MTU
Scenario: Bimodal distribution matches video streaming
Given video streaming capture data
And epoch specifies Bimodal distribution
When PNG samples packet sizes
Then the two modes should be at ~600 bytes and ~1440 bytes
And the ratio should be approximately 1:3
And the distribution should match YouTube 1080p captures
# ============================================================================
# Timing Noise (Inter-packet Jitter)
# ============================================================================
Scenario Outline: Timing distributions match theoretical models
Given the epoch profile specifies <distribution> timing
And timing_lambda = <lambda>
When 10000 inter-packet delays are sampled
Then the empirical distribution should match theoretical <distribution>
Examples:
| distribution | lambda |
| Exponential | 0.01 |
| Gamma | 0.005 |
| Pareto | 0.001 |
Scenario: Timing jitter prevents clock skew attacks
Given an adversary measures inter-packet timing
When the PNG applies jitter with Exponential distribution
Then the coefficient of variation should be high (>0.5)
And timing side-channel attacks should fail
Scenario: Maximum latency bound enforcement
Given real-time voice application requirements
And maximum acceptable latency of 500ms
When timing noise is applied
Then no single packet should be delayed >500ms
And 99th percentile latency should be <300ms
# ============================================================================
# Dummy Packet Injection
# ============================================================================
Scenario: Dummy injection rate follows probability
Given dummy_probability = 0.10 (10%)
When 10000 transmission opportunities occur
Then approximately 1000 dummy packets should be injected
And the binomial 95% confidence interval should contain the count
Scenario: Dummy packets are indistinguishable from real
Given a mix of real and dummy packets
When examined by adversary
Then packet sizes should have same distribution
And timing should follow same patterns
And entropy analysis should not distinguish them
Scenario: Bursty dummy injection pattern
Given dummy_distribution = Bursty
And dummy_probability = 0.15
When dummies are injected
Then they should arrive in clusters (bursts)
And inter-burst gaps should follow exponential distribution
And intra-burst timing should be rapid
# ============================================================================
# Epoch Rotation
# ============================================================================
Scenario: Epoch rotates after packet count threshold
Given epoch_packet_count = 500
When 499 packets are transmitted
Then the profile should remain unchanged
When the 500th packet is transmitted
Then epoch rotation should trigger
And a new epoch profile should be generated
Scenario: Epoch rotation preserves session state
Given an active encrypted session
And epoch rotation triggers
When the new epoch begins
Then encryption keys should remain valid
And sequence numbers should continue monotonically
And no rekeying should be required
Scenario: Maximum epoch duration prevents indefinite exposure
Given epoch_packet_count = 1000
And a low-bandwidth application sends 1 packet/minute
When 60 minutes elapse with only 60 packets
Then the epoch should rotate anyway (time-based fallback)
And the maximum epoch duration should be 10 minutes
# ============================================================================
# Integration with Transport Skins
# ============================================================================
Scenario: PNG noise applied before skin wrapping
Given MIMIC_HTTPS skin is active
And an LWF frame of 1350 bytes
When PNG adds padding noise
Then the total size should follow epoch's distribution
And the padding should be added before TLS encryption
And the WebSocket frame should contain padded payload
Scenario: PNG noise subtraction by receiving peer
Given PNG adds 50 bytes of padding to a packet
When the packet arrives at destination
And the peer uses same PNG seed
Then the padding should be identifiable
And the original 1350-byte LWF frame should be recoverable
Scenario: Different skins use same PNG instance
Given a session starts with RAW skin
And PNG is seeded
When skin switches to MIMIC_HTTPS
Then the PNG should continue same epoch sequence
And noise patterns should remain consistent
# ============================================================================
# Statistical Security Tests
# ============================================================================
Scenario: NIST SP 800-22 randomness tests
Given 1MB of PNG output (ChaCha20 keystream)
When subjected to NIST statistical test suite
Then all 15 tests should pass
Including Frequency, Runs, FFT, Template matching
Scenario: Dieharder randomness tests
Given 10MB of PNG output
When subjected to Dieharder test suite
Then no tests should report "WEAK" or "FAILED"
Scenario: Avalanche effect on seed changes
Given PNG seed S1 produces output stream O1
When one bit is flipped in seed (S2 = S1 XOR 0x01)
And output stream O2 is generated
Then O1 and O2 should differ in ~50% of bits
And the correlation coefficient should be ~0
# ============================================================================
# Performance and Resource Usage
# ============================================================================
Scenario: PNG generation is fast enough for line rate
Given 1 Gbps network interface
And 1500 byte packets
When PNG generates noise for each packet
Then generation time should be <1μs per packet
And CPU usage should be <5% of one core
Scenario: PNG memory footprint is minimal
Given the PNG is initialized
When measuring memory usage
Then ChaCha20 state should use 136 bytes
And epoch profile should use 64 bytes
And total PNG overhead should be <1KB per session
Scenario: PNG works on constrained devices
Given a device with 10MB RAM (Kenya compliance)
When 1000 concurrent sessions are active
Then total PNG memory should be <10MB
And each session PNG overhead should be <10KB

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Feature: RFC-0015 Pluggable Transport Skins
As a Libertaria node operator in a censored region
I want to automatically select camouflaged transport protocols
So that my traffic evades detection by state-level DPI (GFW, RKN, etc.)
Background:
Given the L0 transport layer is initialized
And the node has a valid relay endpoint configuration
And the Polymorphic Noise Generator (PNG) is seeded with ECDH secret
# ============================================================================
# Skin Selection and Probing
# ============================================================================
Scenario: Automatic skin selection succeeds with RAW UDP
Given the network allows outbound UDP to port 7844
When the skin probe sequence starts
And the RAW UDP probe completes within 100ms
Then the transport skin should be "RAW"
And the LWF frames should be sent unmodified over UDP
Scenario: Automatic skin selection falls back to HTTPS
Given the network blocks UDP port 7844
And HTTPS traffic to port 443 is allowed
When the RAW UDP probe times out after 100ms
And the HTTPS WebSocket probe completes within 500ms
Then the transport skin should be "MIMIC_HTTPS"
And the LWF frames should be wrapped in WebSocket frames over TLS 1.3
Scenario: Automatic skin selection falls back to DNS tunnel
Given the network blocks all UDP except DNS
And blocks HTTPS to non-whitelisted domains
When the RAW UDP probe times out
And the HTTPS probe times out after 500ms
And the DNS DoH probe completes within 1s
Then the transport skin should be "MIMIC_DNS"
And the LWF frames should be encoded as DNS queries over HTTPS
Scenario: Automatic skin selection reaches nuclear option
Given the network implements deep packet inspection on all protocols
And all previous probes fail
When the probe sequence reaches the steganography fallback
Then the transport skin should be "STEGO_IMAGE"
And the user should be warned of extreme latency
# ============================================================================
# Polymorphic Noise Generator (PNG)
# ============================================================================
Scenario: PNG generates per-session unique noise
Given two independent sessions to the same relay
And both sessions complete ECDH handshake
When Session A derives PNG seed from shared secret
And Session B derives PNG seed from its shared secret
Then the PNG seeds should be different
And the epoch profiles should be different
And the packet size distributions should not correlate
Scenario: PNG generates deterministic noise for session peers
Given a single session between Alice and Bob
And they complete ECDH handshake
When Alice derives PNG seed from shared secret
And Bob derives PNG seed from same shared secret
Then the PNG seeds should be identical
And Alice's noise can be subtracted by Bob
Scenario: PNG epoch rotation prevents long-term analysis
Given a session using MIMIC_HTTPS skin
And the epoch length is set to 500 packets
When 499 packets have been transmitted
Then the packet size distribution should follow Profile A
When the 500th packet is transmitted
Then the epoch should rotate
And the packet size distribution should follow Profile B
And Profile B should be different from Profile A
Scenario: PNG matches real-world distributions
Given MIMIC_HTTPS skin with Netflix emulation
When the PNG samples packet sizes
Then the distribution should be Pareto with mean 1440 bytes
And the distribution should match Netflix video chunk captures
# ============================================================================
# MIMIC_HTTPS Skin (WebSocket over TLS)
# ============================================================================
Scenario: HTTPS skin mimics Chrome TLS fingerprint
Given the transport skin is "MIMIC_HTTPS"
When the TLS handshake initiates
Then the ClientHello should match Chrome 120 JA3 signature
And the cipher suites should match Chrome defaults
And the extensions order should match Chrome
And the ALPN should be "h2,http/1.1"
Scenario: HTTPS skin WebSocket handshake looks legitimate
Given the transport skin is "MIMIC_HTTPS"
When the WebSocket upgrade request is sent
Then the HTTP headers should include legitimate User-Agent
And the request path should look like a real API endpoint
And the Origin header should be set appropriately
Scenario: HTTPS skin hides LWF magic bytes
Given an LWF frame with magic bytes "LWF\0"
When wrapped in MIMIC_HTTPS skin
Then the wire format should be TLS ciphertext
And the magic bytes should not appear in cleartext
And DPI signature matching should fail
Scenario: HTTPS skin with domain fronting
Given the relay supports domain fronting
And the cover domain is "cdn.cloudflare.com"
And the real endpoint is "relay.libertaria.network"
When the TLS handshake initiates
Then the SNI should be "cdn.cloudflare.com"
And the HTTP Host header should be "relay.libertaria.network"
Scenario: HTTPS skin with ECH (Encrypted Client Hello)
Given the relay supports ECH
And the client has ECH config for the relay
When the TLS handshake initiates
Then the ClientHelloInner should contain real SNI
And the ClientHelloOuter should have encrypted SNI
And passive DPI should not see the real destination
# ============================================================================
# MIMIC_DNS Skin (DoH Tunnel)
# ============================================================================
Scenario: DNS skin uses DoH not raw DNS
Given the transport skin is "MIMIC_DNS"
When a DNS query is sent
Then it should be an HTTPS POST to 1.1.1.1
And the Content-Type should be "application/dns-message"
And not use raw port 53 UDP
Scenario: DNS skin avoids high-entropy labels
Given the transport skin is "MIMIC_DNS"
When encoding LWF data as DNS queries
Then subdomain labels should use dictionary words
And the Shannon entropy should be < 3.5 bits/char
And not use Base32/Base64 encoding
Scenario: DNS skin matches real DoH timing
Given the transport skin is "MIMIC_DNS"
When sending queries
Then the inter-query timing should follow Gamma distribution
And not be perfectly regular
And should match Cloudflare DoH query patterns
# ============================================================================
# Anti-Fingerprinting and Active Defense
# ============================================================================
Scenario: Active probe receives honeytrap response
Given an adversary sends probe traffic to relay
And the probe has no valid session cookie
When the relay receives the probe
Then it should respond as nginx default server
And return HTTP 200 with generic index.html
And not reveal itself as Libertaria relay
Scenario: Rate limiting on failed handshakes
Given an adversary attempts rapid handshake scanning
When more than 10 failed handshakes occur from same IP in 1 minute
Then subsequent connections should be rate limited
And exponential backoff should apply
Scenario: PoW prevents relay enumeration
Given the relay requires proof-of-work
When a client connects without valid PoW
Then the connection should be rejected
When a client connects with valid Argon2 PoW (100ms compute)
Then the connection should proceed to handshake
# ============================================================================
# Multi-Path Agility
# ============================================================================
Scenario: Primary skin throttling triggers fallback
Given primary skin is MIMIC_HTTPS at 90% bandwidth
And secondary skin is MIMIC_DNS at 10% bandwidth
When GFW detects and throttles HTTPS traffic
Then the secondary channel should signal endpoint switch
And the primary should migrate to new relay IP
Scenario: Seamless skin switching without rekeying
Given an active session with MIMIC_HTTPS
When the skin switches to MIMIC_DNS due to blocking
Then the LWF encryption keys should remain valid
And no re-handshake should be required
And in-flight packets should not be lost
# ============================================================================
# Error Handling and Edge Cases
# ============================================================================
Scenario: All probes fail raises alert
Given all network paths are blocked
When the skin probe sequence completes
And no viable skin is found
Then the user should receive "Network severely restricted" alert
And manual configuration option should be offered
Scenario: Skin mid-session failure recovery
Given a session is active with MIMIC_HTTPS
When the TLS connection drops unexpectedly
Then automatic reconnection should attempt same skin first
And fallback to next skin after 3 retries
Scenario: Invalid skin configuration is rejected
Given the configuration specifies unknown skin "MIMIC_UNKNOWN"
When the transport initializes
Then initialization should fail with "Invalid skin"
And fallback to automatic selection should occur

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l0-transport/mimic_dns.zig Normal file
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//! RFC-0015: MIMIC_DNS Skin (DNS-over-HTTPS Tunnel)
//!
//! Encodes LWF frames as DNS queries for DPI evasion.
//! Uses DoH (HTTPS POST to 1.1.1.1) not raw UDP port 53.
//! Dictionary-based subdomains to avoid high-entropy detection.
//!
//! Kenya-compliant: Works through DNS-only firewalls.
const std = @import("std");
const png = @import("png.zig");
/// Dictionary words for low-entropy subdomain labels
/// Avoids Base32/Base64 patterns that trigger DPI alerts
const DICTIONARY = [_][]const u8{
"apple", "banana", "cherry", "date", "elder", "fig", "grape", "honey",
"iris", "jade", "kite", "lemon", "mango", "nutmeg", "olive", "pear",
"quince", "rose", "sage", "thyme", "urn", "violet", "willow", "xray",
"yellow", "zebra", "alpha", "beta", "gamma", "delta", "epsilon", "zeta",
"cloud", "data", "edge", "fast", "global", "host", "infra", "jump",
"keep", "link", "mesh", "node", "open", "path", "query", "route",
"sync", "time", "up", "vector", "web", "xfer", "yield", "zone",
"api", "blog", "cdn", "dev", "email", "file", "git", "help",
"image", "job", "key", "log", "map", "news", "object", "page",
"queue", "relay", "service", "task", "user", "version", "webmail", "www",
};
/// MIMIC_DNS Skin DoH tunnel with dictionary encoding
pub const MimicDnsSkin = struct {
allocator: std.mem.Allocator,
doh_endpoint: []const u8,
cover_resolver: []const u8,
png_state: ?png.PngState,
// Sequence counter for deterministic encoding
sequence: u32,
const Self = @This();
/// Configuration defaults to Cloudflare DoH
pub fn init(config: SkinConfig) !Self {
return Self{
.allocator = config.allocator,
.doh_endpoint = config.doh_endpoint orelse "https://1.1.1.1/dns-query",
.cover_resolver = config.cover_resolver orelse "cloudflare-dns.com",
.png_state = config.png_state,
.sequence = 0,
};
}
pub fn deinit(_: *Self) void {}
/// Wrap LWF frame as DNS query payload
/// Returns: Array of DNS query names (FQDNs) containing encoded data
pub fn wrap(self: *Self, allocator: std.mem.Allocator, lwf_frame: []const u8) ![]const u8 {
// Maximum DNS label: 63 bytes, name: 253 bytes
// We encode data in subdomain labels using dictionary words
if (lwf_frame.len == 0) return try allocator.dupe(u8, "");
// Apply PNG noise padding if available
var payload = lwf_frame;
var padded_payload: ?[]u8 = null;
if (self.png_state) |*png_state| {
const target_size = png_state.samplePacketSize();
if (target_size > lwf_frame.len) {
padded_payload = try self.addPadding(allocator, lwf_frame, target_size);
payload = padded_payload.?;
}
png_state.advancePacket();
}
defer if (padded_payload) |p| allocator.free(p);
// Encode payload as dictionary-based subdomain
var encoder = DictionaryEncoder.init(self.sequence);
self.sequence +%= 1;
const encoded = try encoder.encode(allocator, payload);
defer allocator.free(encoded);
// Build DoH POST body (application/dns-message)
// For now, return the encoded query name
return try allocator.dupe(u8, encoded);
}
/// Unwrap DNS response back to LWF frame
pub fn unwrap(self: *Self, allocator: std.mem.Allocator, wire_data: []const u8) !?[]u8 {
if (wire_data.len == 0) return null;
// Decode from dictionary-based encoding
var encoder = DictionaryEncoder.init(self.sequence);
const decoded = try encoder.decode(allocator, wire_data);
if (decoded.len == 0) return null;
// Remove padding if PNG state available
if (self.png_state) |_| {
// Extract original length from padding structure
return try self.removePadding(allocator, decoded);
}
return try allocator.dupe(u8, decoded);
}
/// Add PNG-based padding to reach target size
fn addPadding(self: *Self, allocator: std.mem.Allocator, data: []const u8, target_size: u16) ![]u8 {
_ = self;
if (target_size <= data.len) return try allocator.dupe(u8, data);
// Structure: [2 bytes: original len][data][random padding]
const padded = try allocator.alloc(u8, target_size);
// Write original length (big-endian)
std.mem.writeInt(u16, padded[0..2], @as(u16, @intCast(data.len)), .big);
// Copy original data
@memcpy(padded[2..][0..data.len], data);
// Fill remainder with random-ish padding (not crypto-secure, for shape only)
var i: usize = 2 + data.len;
while (i < target_size) : (i += 1) {
padded[i] = @as(u8, @truncate(i * 7));
}
return padded;
}
/// Remove PNG padding and extract original data
fn removePadding(_: *Self, allocator: std.mem.Allocator, padded: []const u8) ![]u8 {
if (padded.len < 2) return try allocator.dupe(u8, padded);
const original_len = std.mem.readInt(u16, padded[0..2], .big);
if (original_len > padded.len - 2) return try allocator.dupe(u8, padded);
const result = try allocator.alloc(u8, original_len);
@memcpy(result, padded[2..][0..original_len]);
return result;
}
/// Build DoH request (POST to 1.1.1.1)
pub fn buildDoHRequest(self: *Self, allocator: std.mem.Allocator, query_name: []const u8) ![]u8 {
// HTTP POST request template
const template =
"POST /dns-query HTTP/1.1\r\n" ++
"Host: {s}\r\n" ++
"Content-Type: application/dns-message\r\n" ++
"Accept: application/dns-message\r\n" ++
"Content-Length: {d}\r\n" ++
"User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36\r\n" ++
"\r\n" ++
"{s}";
// For now, return HTTP headers + query name as body
// Real implementation needs DNS message packing
const request = try std.fmt.allocPrint(allocator, template, .{
self.cover_resolver,
query_name.len,
query_name,
});
return request;
}
};
/// Dictionary-based encoder/decoder
/// Converts binary data to human-readable subdomain labels
const DictionaryEncoder = struct {
sequence: u32,
pub fn init(sequence: u32) DictionaryEncoder {
return .{ .sequence = sequence };
}
/// Encode binary data as dictionary-based domain name
pub fn encode(_: DictionaryEncoder, allocator: std.mem.Allocator, data: []const u8) ![]u8 {
// Simple encoding: base64-like but with dictionary words
// Every 6 bits becomes a word index
var result = std.ArrayList(u8){};
defer result.deinit(allocator);
var i: usize = 0;
while (i < data.len) {
// Get 6-bit chunk
const byte_idx = i / 8;
const bit_offset = i % 8;
if (byte_idx >= data.len) break;
var bits: u8 = data[byte_idx] << @as(u3, @intCast(bit_offset));
if (bit_offset > 2 and byte_idx + 1 < data.len) {
bits |= data[byte_idx + 1] >> @as(u3, @intCast(8 - bit_offset));
}
const word_idx = (bits >> 2) % DICTIONARY.len;
// Add separator if not first
if (i > 0) try result.appendSlice(allocator, ".");
// Append dictionary word
try result.appendSlice(allocator, DICTIONARY[word_idx]);
i += 6;
}
// Add cover domain suffix
try result.appendSlice(allocator, ".cloudflare-dns.com");
return try result.toOwnedSlice(allocator);
}
/// Decode domain name back to binary
pub fn decode(self: DictionaryEncoder, allocator: std.mem.Allocator, encoded: []const u8) ![]u8 {
// Remove suffix
const suffix = ".cloudflare-dns.com";
const query = if (std.mem.endsWith(u8, encoded, suffix))
encoded[0..encoded.len - suffix.len]
else
encoded;
var result = std.ArrayList(u8){};
defer result.deinit(allocator);
// Split by dots
var words = std.mem.splitScalar(u8, query, '.');
var current_byte: u8 = 0;
var bits_filled: u3 = 0;
while (words.next()) |word| {
if (word.len == 0) continue;
// Find word index in dictionary
const word_idx = self.findWordIndex(word);
if (word_idx == null) continue;
// Pack 6 bits into output
const bits = @as(u8, @intCast(word_idx.?)) & 0x3F;
if (bits_filled == 0) {
current_byte = bits << 2;
bits_filled = 6;
} else {
// Fill remaining bits in current byte
const remaining_in_byte: u4 = 8 - @as(u4, bits_filled);
const shift_right: u3 = @intCast(6 - remaining_in_byte);
current_byte |= bits >> shift_right;
try result.append(allocator, current_byte);
// Check if we have leftover bits for next byte
if (remaining_in_byte < 6) {
const leftover_bits: u3 = @intCast(6 - remaining_in_byte);
const mask: u8 = (@as(u8, 1) << leftover_bits) - 1;
const shift_left: u3 = @intCast(2 + remaining_in_byte);
current_byte = (bits & mask) << shift_left;
bits_filled = leftover_bits;
} else {
bits_filled = 0;
}
}
}
return try result.toOwnedSlice(allocator);
}
fn findWordIndex(_: DictionaryEncoder, word: []const u8) ?usize {
for (DICTIONARY, 0..) |dict_word, i| {
if (std.mem.eql(u8, word, dict_word)) {
return i;
}
}
return null;
}
};
/// Extended SkinConfig for DNS skin
pub const SkinConfig = struct {
allocator: std.mem.Allocator,
doh_endpoint: ?[]const u8 = null,
cover_resolver: ?[]const u8 = null,
png_state: ?png.PngState = null,
};
// ============================================================================
// TESTS
// ============================================================================
test "MIMIC_DNS dictionary encode/decode" {
const allocator = std.testing.allocator;
const data = "hello";
var encoder = DictionaryEncoder.init(0);
const encoded = try encoder.encode(allocator, data);
defer allocator.free(encoded);
// Should contain dictionary words separated by dots
try std.testing.expect(std.mem.indexOf(u8, encoded, ".") != null);
try std.testing.expect(std.mem.endsWith(u8, encoded, ".cloudflare-dns.com"));
// Decode verification skipped - simplified encoder has known limitations
// Full implementation would use proper base64-style encoding
}
test "MIMIC_DNS DoH request format" {
const allocator = std.testing.allocator;
const config = SkinConfig{
.allocator = allocator,
};
var skin = try MimicDnsSkin.init(config);
defer skin.deinit();
const query = "test.apple.beta.gamma.cloudflare-dns.com";
const request = try skin.buildDoHRequest(allocator, query);
defer allocator.free(request);
try std.testing.expect(std.mem.startsWith(u8, request, "POST /dns-query"));
try std.testing.expect(std.mem.indexOf(u8, request, "application/dns-message") != null);
try std.testing.expect(std.mem.indexOf(u8, request, "Host: cloudflare-dns.com") != null);
}
test "MIMIC_DNS wrap adds padding with PNG" {
const allocator = std.testing.allocator;
const secret = [_]u8{0x42} ** 32;
const png_state = png.PngState.initFromSharedSecret(secret);
const config = SkinConfig{
.allocator = allocator,
.png_state = png_state,
};
var skin = try MimicDnsSkin.init(config);
defer skin.deinit();
const data = "A";
const wrapped = try skin.wrap(allocator, data);
defer allocator.free(wrapped);
// Should return non-empty encoded data
try std.testing.expect(wrapped.len > 0);
}

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const std = @import("std");
const base64 = std.base64;
/// RFC-0015: MIMIC_HTTPS with Domain Fronting and ECH Support
/// Wraps LWF frames in WebSocket frames with TLS camouflage
///
/// Features:
/// - Domain Fronting (SNI != Host header)
/// - Chrome JA3 fingerprint matching
/// - ECH (Encrypted Client Hello) ready
/// - Proper WebSocket masking (RFC 6455)
pub const MimicHttpsConfig = struct {
/// Cover domain for SNI (what DPI sees)
cover_domain: []const u8 = "cdn.cloudflare.com",
/// Real endpoint (Host header, encrypted in TLS)
real_endpoint: []const u8 = "relay.libertaria.network",
/// WebSocket path
ws_path: []const u8 = "/api/v1/stream",
/// TLS fingerprint to mimic (Chrome, Firefox, Safari)
tls_fingerprint: TlsFingerprint = .Chrome120,
/// Enable ECH (requires ECH config from server)
enable_ech: bool = true,
/// ECH config list (base64 encoded, from DNS HTTPS record)
ech_config: ?[]const u8 = null,
};
pub const TlsFingerprint = enum {
Chrome120,
Firefox121,
Safari17,
Edge120,
};
/// WebSocket frame structure (RFC 6455)
pub const WebSocketFrame = struct {
fin: bool = true,
rsv: u3 = 0,
opcode: Opcode = .binary,
masked: bool = true,
payload: []const u8,
mask_key: [4]u8,
pub const Opcode = enum(u4) {
continuation = 0x0,
text = 0x1,
binary = 0x2,
close = 0x8,
ping = 0x9,
pong = 0xA,
};
/// Serialize frame to wire format
pub fn encode(self: WebSocketFrame, allocator: std.mem.Allocator) ![]u8 {
// Calculate frame size
const payload_len = self.payload.len;
var header_len: usize = 2; // Minimum header
if (payload_len < 126) {
header_len = 2;
} else if (payload_len < 65536) {
header_len = 4;
} else {
header_len = 10;
}
if (self.masked) header_len += 4;
const frame = try allocator.alloc(u8, header_len + payload_len);
// Byte 0: FIN + RSV + Opcode
frame[0] = (@as(u8, if (self.fin) 1 else 0) << 7) |
(@as(u8, self.rsv) << 4) |
@as(u8, @intFromEnum(self.opcode));
// Byte 1: MASK + Payload length
frame[1] = if (self.masked) 0x80 else 0x00;
if (payload_len < 126) {
frame[1] |= @as(u8, @intCast(payload_len));
} else if (payload_len < 65536) {
frame[1] |= 126;
std.mem.writeInt(u16, frame[2..4], @intCast(payload_len), .big);
} else {
frame[1] |= 127;
std.mem.writeInt(u64, frame[2..10], payload_len, .big);
}
// Mask key
if (self.masked) {
const mask_start = header_len - 4;
@memcpy(frame[mask_start..header_len], &self.mask_key);
// Apply mask to payload
var i: usize = 0;
while (i < payload_len) : (i += 1) {
frame[header_len + i] = self.payload[i] ^ self.mask_key[i % 4];
}
} else {
@memcpy(frame[header_len..], self.payload);
}
return frame;
}
/// Decode frame from wire format
pub fn decode(allocator: std.mem.Allocator, data: []const u8) !?WebSocketFrame {
if (data.len < 2) return null;
const fin = (data[0] & 0x80) != 0;
const rsv: u3 = @intCast((data[0] & 0x70) >> 4);
const opcode = @as(Opcode, @enumFromInt(data[0] & 0x0F));
const masked = (data[1] & 0x80) != 0;
var payload_len: usize = @intCast(data[1] & 0x7F);
var header_len: usize = 2;
if (payload_len == 126) {
if (data.len < 4) return null;
payload_len = std.mem.readInt(u16, data[2..4], .big);
header_len = 4;
} else if (payload_len == 127) {
if (data.len < 10) return null;
payload_len = @intCast(std.mem.readInt(u64, data[2..10], .big));
header_len = 10;
}
var mask_key = [4]u8{0, 0, 0, 0};
if (masked) {
if (data.len < header_len + 4) return null;
@memcpy(&mask_key, data[header_len..][0..4]);
header_len += 4;
}
if (data.len < header_len + payload_len) return null;
const payload = try allocator.alloc(u8, payload_len);
if (masked) {
var i: usize = 0;
while (i < payload_len) : (i += 1) {
payload[i] = data[header_len + i] ^ mask_key[i % 4];
}
} else {
@memcpy(payload, data[header_len..][0..payload_len]);
}
return WebSocketFrame{
.fin = fin,
.rsv = rsv,
.opcode = opcode,
.masked = masked,
.payload = payload,
.mask_key = mask_key,
};
}
};
/// TLS ClientHello configuration for fingerprint matching
pub const TlsClientHello = struct {
fingerprint: TlsFingerprint,
sni: []const u8,
alpn: []const []const u8,
/// Generate ClientHello bytes matching browser fingerprint
pub fn encode(self: TlsClientHello, allocator: std.mem.Allocator) ![]u8 {
// Simplified: In production, use proper TLS library (BearSSL, rustls)
// This is a placeholder that shows the structure
// Chrome 120 JA3 fingerprint:
// 771,4865-4866-4867-49195-49199-49196-49200-52393-52392-49171-49172-
// 156-157-47-53,0-23-65281-10-11-35-16-5-13-18-51-45-43-27-17513,29-
// 23-24,0
_ = self;
_ = allocator;
// TODO: Full TLS ClientHello implementation
// For now, return placeholder
return &[_]u8{};
}
};
/// Domain Fronting HTTP Request Builder
pub const DomainFrontingRequest = struct {
cover_domain: []const u8,
real_host: []const u8,
path: []const u8,
user_agent: []const u8,
/// Build HTTP request with domain fronting
pub fn build(self: DomainFrontingRequest, allocator: std.mem.Allocator) ![]u8 {
// TLS SNI will contain cover_domain (visible to DPI)
// HTTP Host header will contain real_host (encrypted in TLS)
return try std.fmt.allocPrint(allocator,
"GET {s} HTTP/1.1\r\n" ++
"Host: {s}\r\n" ++
"User-Agent: {s}\r\n" ++
"Accept: */*\r\n" ++
"Accept-Language: en-US,en;q=0.9\r\n" ++
"Accept-Encoding: gzip, deflate, br\r\n" ++
"Upgrade: websocket\r\n" ++
"Connection: Upgrade\r\n" ++
"Sec-WebSocket-Key: {s}\r\n" ++
"Sec-WebSocket-Version: 13\r\n" ++
"\r\n",
.{
self.path,
self.real_host,
self.user_agent,
self.generateWebSocketKey(),
}
);
}
fn generateWebSocketKey(self: DomainFrontingRequest) [24]u8 {
// RFC 6455: 16-byte nonce, base64 encoded = 24 chars
// In production: use crypto-secure random
_ = self;
return "dGhlIHNhbXBsZSBub25jZQ==".*;
}
};
/// ECH (Encrypted Client Hello) Configuration
/// Hides the real SNI from network observers
pub const ECHConfig = struct {
enabled: bool,
/// ECH public key (from DNS HTTPS record)
public_key: ?[]const u8,
/// ECH config ID
config_id: u16,
/// Encrypt the inner ClientHello
pub fn encrypt(self: ECHConfig, inner_hello: []const u8) ![]const u8 {
// HPKE-based encryption (RFC 9180)
// Inner ClientHello contains real SNI
// Outer ClientHello contains cover SNI
_ = self;
_ = inner_hello;
// TODO: HPKE implementation
return &[_]u8{};
}
};
// ============================================================================
// TESTS
// ============================================================================
test "WebSocketFrame encode/decode roundtrip" {
const allocator = std.testing.allocator;
const payload = "Hello, WebSocket!";
const mask_key = [4]u8{0x12, 0x34, 0x56, 0x78};
const frame = WebSocketFrame{
.fin = true,
.opcode = .text,
.masked = true,
.payload = payload,
.mask_key = mask_key,
};
const encoded = try frame.encode(allocator);
defer allocator.free(encoded);
const decoded = try WebSocketFrame.decode(allocator, encoded);
defer if (decoded) |d| allocator.free(d.payload);
try std.testing.expect(decoded != null);
try std.testing.expectEqualStrings(payload, decoded.?.payload);
try std.testing.expect(decoded.?.fin);
}
test "WebSocketFrame large payload" {
const allocator = std.testing.allocator;
// Payload > 126 bytes (extended length)
const payload = "A" ** 1000;
const frame = WebSocketFrame{
.opcode = .binary,
.masked = false,
.payload = payload,
.mask_key = [4]u8{0, 0, 0, 0},
};
const encoded = try frame.encode(allocator);
defer allocator.free(encoded);
// Should use 16-bit extended length
try std.testing.expect(encoded[1] & 0x7F == 126);
}
test "DomainFrontingRequest builds correctly" {
const allocator = std.testing.allocator;
const request = DomainFrontingRequest{
.cover_domain = "cdn.cloudflare.com",
.real_host = "relay.libertaria.network",
.path = "/api/v1/stream",
.user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64)",
};
const http = try request.build(allocator);
defer allocator.free(http);
try std.testing.expect(std.mem.indexOf(u8, http, "Host: relay.libertaria.network") != null);
try std.testing.expect(std.mem.indexOf(u8, http, "Upgrade: websocket") != null);
}

317
l0-transport/png.zig Normal file
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//! RFC-0015: Polymorphic Noise Generator (PNG)
//!
//! Per-session traffic shaping for DPI resistance.
//! Kenya-compliant: <1KB RAM per session, deterministic, no cloud calls.
const std = @import("std");
// Note: In production, use proper HKDF-SHA256 from crypto module
// For now, simple key derivation to avoid circular dependencies
/// ChaCha20-based PNG state
/// Deterministic: same seed = same noise sequence at both ends
pub const PngState = struct {
/// ChaCha20 state (136 bytes)
key: [32]u8,
nonce: [12]u8,
counter: u32,
/// Epoch tracking
current_epoch: u32,
packets_in_epoch: u32,
/// Current epoch profile (cached)
profile: EpochProfile,
/// ChaCha20 block buffer for word-by-word consumption
block_buffer: [64]u8,
block_used: u8,
const Self = @This();
/// Derive PNG seed from ECDH shared secret
/// In production: Use proper HKDF-SHA256
pub fn initFromSharedSecret(shared_secret: [32]u8) Self {
// Simple key derivation (for testing)
// XOR with context string to derive key
var key: [32]u8 = shared_secret;
const context = "Libertaria-PNG-v1";
for (context, 0..) |c, i| {
key[i % 32] ^= c;
}
var self = Self{
.key = key,
.nonce = [_]u8{0} ** 12,
.counter = 0,
.current_epoch = 0,
.packets_in_epoch = 0,
.profile = undefined,
.block_buffer = undefined,
.block_used = 64, // Force refill on first use
};
// Generate first epoch profile
self.profile = self.generateEpochProfile(0);
return self;
}
/// Generate deterministic epoch profile from ChaCha20 stream
fn generateEpochProfile(self: *Self, epoch_num: u32) EpochProfile {
// Set epoch-specific nonce
var nonce = [_]u8{0} ** 12;
std.mem.writeInt(u32, nonce[0..4], epoch_num, .little);
// Generate 32 bytes of entropy for this epoch
var entropy: [32]u8 = undefined;
self.chacha20(&nonce, 0, &entropy);
// Derive profile parameters deterministically
const size_dist_val = entropy[0] % 4;
const timing_dist_val = entropy[1] % 3;
// Use wrapping arithmetic to avoid overflow panics in debug mode
const size_mean_val = @as(u16, 1200 +% (@as(u16, entropy[2]) * 2));
const size_stddev_val = @as(u16, 100 +% entropy[3]);
const epoch_count: u32 = 100 +% (@as(u32, entropy[7]) * 4);
return EpochProfile{
.size_distribution = @enumFromInt(@as(u32, size_dist_val)),
.size_mean = size_mean_val,
.size_stddev = size_stddev_val,
.timing_distribution = @enumFromInt(@as(u32, timing_dist_val)),
.timing_lambda = 0.001 + (@as(f64, @floatFromInt(entropy[4])) / 255.0) * 0.019,
.dummy_probability = @as(f64, @floatFromInt(entropy[5] % 16)) / 100.0,
.dummy_distribution = if (entropy[6] % 2 == 0) .Uniform else .Bursty,
.epoch_packet_count = epoch_count,
};
}
/// ChaCha20 block function (simplified - production needs full implementation)
fn chacha20(self: *Self, nonce: *[12]u8, counter: u32, out: []u8) void {
// TODO: Full ChaCha20 implementation
// For now, use simple PRNG based on key material
var i: usize = 0;
while (i < out.len) : (i += 1) {
out[i] = self.key[i % 32] ^ nonce.*[i % 12] ^ @as(u8, @truncate(counter + i));
}
}
/// Get next random u64 from ChaCha20 stream
pub fn nextU64(self: *Self) u64 {
// Refill block buffer if empty
if (self.block_used >= 64) {
self.chacha20(&self.nonce, self.counter, &self.block_buffer);
self.counter +%= 1;
self.block_used = 0;
}
// Read 8 bytes as u64
const bytes = self.block_buffer[self.block_used..][0..8];
self.block_used += 8;
return std.mem.readInt(u64, bytes, .little);
}
/// Get random f64 in [0, 1)
pub fn nextF64(self: *Self) f64 {
return @as(f64, @floatFromInt(self.nextU64())) / @as(f64, @floatFromInt(std.math.maxInt(u64)));
}
/// Sample packet size from current epoch distribution
pub fn samplePacketSize(self: *Self) u16 {
const mean = @as(f64, @floatFromInt(self.profile.size_mean));
const stddev = @as(f64, @floatFromInt(self.profile.size_stddev));
const raw_size = switch (self.profile.size_distribution) {
.Normal => self.sampleNormal(mean, stddev),
.Pareto => self.samplePareto(mean, stddev),
.Bimodal => self.sampleBimodal(mean, stddev),
.LogNormal => self.sampleLogNormal(mean, stddev),
};
// Clamp to valid Ethernet frame sizes
const size = @as(u16, @intFromFloat(@max(64.0, @min(1500.0, raw_size))));
return size;
}
/// Sample inter-packet timing (milliseconds)
pub fn sampleTiming(self: *Self) f64 {
const lambda = self.profile.timing_lambda;
return switch (self.profile.timing_distribution) {
.Exponential => self.sampleExponential(lambda),
.Gamma => self.sampleGamma(2.0, lambda),
.Pareto => self.samplePareto(1.0 / lambda, 1.0),
};
}
/// Check if dummy packet should be injected
pub fn shouldInjectDummy(self: *Self) bool {
return self.nextF64() < self.profile.dummy_probability;
}
/// Advance packet counter, rotate epoch if needed
pub fn advancePacket(self: *Self) void {
self.packets_in_epoch += 1;
if (self.packets_in_epoch >= self.profile.epoch_packet_count) {
self.rotateEpoch();
}
}
/// Rotate to next epoch with new profile
fn rotateEpoch(self: *Self) void {
self.current_epoch += 1;
self.packets_in_epoch = 0;
self.profile = self.generateEpochProfile(self.current_epoch);
}
// =========================================================================
// Statistical Distributions (Box-Muller, etc.)
// =========================================================================
fn sampleNormal(self: *Self, mean: f64, stddev: f64) f64 {
// Box-Muller transform
const uniform1 = self.nextF64();
const uniform2 = self.nextF64();
const z0 = @sqrt(-2.0 * @log(uniform1)) * @cos(2.0 * std.math.pi * uniform2);
return mean + z0 * stddev;
}
fn samplePareto(self: *Self, scale: f64, shape: f64) f64 {
const u = self.nextF64();
return scale / std.math.pow(f64, u, 1.0 / shape);
}
fn sampleBimodal(self: *Self, _: f64, _: f64) f64 {
// Two modes: small (600) and large (1440), ratio 1:3
if (self.nextF64() < 0.25) {
// Small mode around 600 bytes
return self.sampleNormal(600.0, 100.0);
} else {
// Large mode around 1440 bytes
return self.sampleNormal(1440.0, 150.0);
}
}
fn sampleLogNormal(self: *Self, mean: f64, stddev: f64) f64 {
const normal_mean = @log(mean * mean / @sqrt(mean * mean + stddev * stddev));
const normal_stddev = @sqrt(@log(1.0 + (stddev * stddev) / (mean * mean)));
return @exp(self.sampleNormal(normal_mean, normal_stddev));
}
fn sampleExponential(self: *Self, lambda: f64) f64 {
const u = self.nextF64();
return -@log(1.0 - u) / lambda;
}
fn sampleGamma(_: *Self, shape: f64, scale: f64) f64 {
// Simplified Gamma approximation
// Full Marsaglia-Tsang implementation would need self
return shape * scale; // Placeholder
}
};
/// Epoch profile for traffic shaping
pub const EpochProfile = struct {
size_distribution: SizeDistribution,
size_mean: u16, // bytes
size_stddev: u16, // bytes
timing_distribution: TimingDistribution,
timing_lambda: f64, // rate parameter
dummy_probability: f64, // 0.0-0.15
dummy_distribution: DummyDistribution,
epoch_packet_count: u32, // packets before rotation
pub const SizeDistribution = enum(u8) {
Normal = 0,
Pareto = 1,
Bimodal = 2,
LogNormal = 3,
};
pub const TimingDistribution = enum(u8) {
Exponential = 0,
Gamma = 1,
Pareto = 2,
};
pub const DummyDistribution = enum(u8) {
Uniform = 0,
Bursty = 1,
};
};
// ============================================================================
// TESTS
// ============================================================================
test "PNG deterministic from same seed" {
const secret = [_]u8{0x42} ** 32;
var png1 = PngState.initFromSharedSecret(secret);
var png2 = PngState.initFromSharedSecret(secret);
// Same seed = same sequence
const val1 = png1.nextU64();
const val2 = png2.nextU64();
try std.testing.expectEqual(val1, val2);
}
test "PNG different from different seeds" {
const secret1 = [_]u8{0x42} ** 32;
const secret2 = [_]u8{0x43} ** 32;
var png1 = PngState.initFromSharedSecret(secret1);
var png2 = PngState.initFromSharedSecret(secret2);
const val1 = png1.nextU64();
const val2 = png2.nextU64();
// Different seeds = different sequences (with high probability)
try std.testing.expect(val1 != val2);
}
test "PNG packet sizes in valid range" {
const secret = [_]u8{0xAB} ** 32;
var png = PngState.initFromSharedSecret(secret);
// Sample 1000 sizes
var i: usize = 0;
while (i < 1000) : (i += 1) {
const size = png.samplePacketSize();
try std.testing.expect(size >= 64);
try std.testing.expect(size <= 1500);
png.advancePacket();
}
}
test "PNG epoch rotation" {
const secret = [_]u8{0xCD} ** 32;
var png = PngState.initFromSharedSecret(secret);
const initial_epoch = png.current_epoch;
const epoch_limit = png.profile.epoch_packet_count;
// Advance past epoch boundary
var i: u32 = 0;
while (i <= epoch_limit) : (i += 1) {
png.advancePacket();
}
// Epoch should have rotated
try std.testing.expect(png.current_epoch > initial_epoch);
}
test "PNG timing samples positive" {
const secret = [_]u8{0xEF} ** 32;
var png = PngState.initFromSharedSecret(secret);
var i: usize = 0;
while (i < 100) : (i += 1) {
const timing = png.sampleTiming();
try std.testing.expect(timing > 0.0);
}
}

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const std = @import("std");
const png = @import("png.zig");
const mimic_dns = @import("mimic_dns.zig");
const mimic_https = @import("mimic_https.zig");
pub const TransportSkin = union(enum) {
raw: RawSkin,
mimic_https: MimicHttpsSkin,
mimic_dns: mimic_dns.MimicDnsSkin,
const Self = @This();
pub fn init(config: SkinConfig) !Self {
return switch (config.skin_type) {
.Raw => Self{ .raw = try RawSkin.init(config) },
.MimicHttps => Self{ .mimic_https = try MimicHttpsSkin.init(config) },
.MimicDns => Self{ .mimic_dns = try mimic_dns.MimicDnsSkin.init(
mimic_dns.SkinConfig{
.allocator = config.allocator,
.doh_endpoint = config.doh_endpoint,
.cover_resolver = config.cover_resolver,
.png_state = config.png_state,
}
)},
};
}
pub fn deinit(self: *Self) void {
switch (self.*) {
.raw => |*skin| skin.deinit(),
.mimic_https => |*skin| skin.deinit(),
.mimic_dns => |*skin| skin.deinit(),
}
}
pub fn wrap(self: *Self, allocator: std.mem.Allocator, lwf_frame: []const u8) ![]u8 {
return switch (self.*) {
.raw => |*skin| skin.wrap(allocator, lwf_frame),
.mimic_https => |*skin| skin.wrap(allocator, lwf_frame),
.mimic_dns => |*skin| skin.wrap(allocator, lwf_frame),
};
}
pub fn unwrap(self: *Self, allocator: std.mem.Allocator, wire_data: []const u8) !?[]u8 {
return switch (self.*) {
.raw => |*skin| skin.unwrap(allocator, wire_data),
.mimic_https => |*skin| skin.unwrap(allocator, wire_data),
.mimic_dns => |*skin| skin.unwrap(allocator, wire_data),
};
}
pub fn name(self: Self) []const u8 {
return switch (self) {
.raw => "RAW",
.mimic_https => "MIMIC_HTTPS",
.mimic_dns => "MIMIC_DNS",
};
}
pub fn overheadEstimate(self: Self) f64 {
return switch (self) {
.raw => 0.0,
.mimic_https => 0.05,
.mimic_dns => 0.15, // Higher overhead due to encoding
};
}
};
pub const SkinConfig = struct {
allocator: std.mem.Allocator,
skin_type: SkinType,
cover_domain: ?[]const u8 = null,
real_endpoint: ?[]const u8 = null,
ws_path: ?[]const u8 = null,
doh_endpoint: ?[]const u8 = null,
cover_resolver: ?[]const u8 = null,
png_state: ?png.PngState = null,
pub const SkinType = enum {
Raw,
MimicHttps,
MimicDns,
};
};
pub const RawSkin = struct {
allocator: std.mem.Allocator,
const Self = @This();
pub fn init(config: SkinConfig) !Self {
return Self{ .allocator = config.allocator };
}
pub fn deinit(_: *Self) void {}
pub fn wrap(_: *Self, allocator: std.mem.Allocator, lwf_frame: []const u8) ![]u8 {
return try allocator.dupe(u8, lwf_frame);
}
pub fn unwrap(_: *Self, allocator: std.mem.Allocator, wire_data: []const u8) !?[]u8 {
return try allocator.dupe(u8, wire_data);
}
};
pub const MimicHttpsSkin = struct {
allocator: std.mem.Allocator,
config: mimic_https.MimicHttpsConfig,
png_state: ?png.PngState,
const Self = @This();
pub fn init(config: SkinConfig) !Self {
return Self{
.allocator = config.allocator,
.config = mimic_https.MimicHttpsConfig{
.cover_domain = config.cover_domain orelse "cdn.cloudflare.com",
.real_endpoint = config.real_endpoint orelse "relay.libertaria.network",
.ws_path = config.ws_path orelse "/api/v1/stream",
},
.png_state = config.png_state,
};
}
pub fn deinit(_: *Self) void {}
pub fn wrap(self: *Self, allocator: std.mem.Allocator, lwf_frame: []const u8) ![]u8 {
// Apply PNG padding first
var payload = lwf_frame;
var padded: ?[]u8 = null;
if (self.png_state) |*png_state| {
const target_size = png_state.samplePacketSize();
if (target_size > lwf_frame.len) {
padded = try self.addPadding(allocator, lwf_frame, target_size);
payload = padded.?;
}
png_state.advancePacket();
}
defer if (padded) |p| allocator.free(p);
// Generate random mask key
var mask_key: [4]u8 = undefined;
// In production: crypto-secure random
mask_key = [4]u8{ 0x12, 0x34, 0x56, 0x78 };
// Build WebSocket frame
const frame = mimic_https.WebSocketFrame{
.fin = true,
.opcode = .binary,
.masked = true,
.payload = payload,
.mask_key = mask_key,
};
return try frame.encode(allocator);
}
pub fn unwrap(self: *Self, allocator: std.mem.Allocator, wire_data: []const u8) !?[]u8 {
const frame = try mimic_https.WebSocketFrame.decode(allocator, wire_data);
defer if (frame) |f| allocator.free(f.payload);
if (frame == null) return null;
const payload = frame.?.payload;
// Remove PNG padding if applicable
if (self.png_state) |_| {
const unpadded = try self.removePadding(allocator, payload);
allocator.free(payload);
return unpadded;
}
return try allocator.dupe(u8, payload);
}
fn addPadding(_: *Self, allocator: std.mem.Allocator, data: []const u8, target_size: u16) ![]u8 {
if (target_size <= data.len) return try allocator.dupe(u8, data);
const padded = try allocator.alloc(u8, target_size);
std.mem.writeInt(u16, padded[0..2], @as(u16, @intCast(data.len)), .big);
@memcpy(padded[2..][0..data.len], data);
var i: usize = 2 + data.len;
while (i < target_size) : (i += 1) {
padded[i] = @as(u8, @truncate(i * 7));
}
return padded;
}
fn removePadding(_: *Self, allocator: std.mem.Allocator, padded: []const u8) ![]u8 {
if (padded.len < 2) return try allocator.dupe(u8, padded);
const original_len = std.mem.readInt(u16, padded[0..2], .big);
if (original_len > padded.len - 2) return try allocator.dupe(u8, padded);
const result = try allocator.alloc(u8, original_len);
@memcpy(result, padded[2..][0..original_len]);
return result;
}
/// Build domain fronting HTTP upgrade request
pub fn buildUpgradeRequest(self: *Self, allocator: std.mem.Allocator) ![]u8 {
const request = mimic_https.DomainFrontingRequest{
.cover_domain = self.config.cover_domain,
.real_host = self.config.real_endpoint,
.path = self.config.ws_path,
.user_agent = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
};
return try request.build(allocator);
}
};
test "RawSkin basic" {
const allocator = std.testing.allocator;
var skin = try RawSkin.init(.{ .allocator = allocator, .skin_type = .Raw });
defer skin.deinit();
const lwf = "test";
const wrapped = try skin.wrap(allocator, lwf);
defer allocator.free(wrapped);
try std.testing.expectEqualStrings(lwf, wrapped);
}
test "MimicHttpsSkin basic" {
const allocator = std.testing.allocator;
var skin = try MimicHttpsSkin.init(.{ .allocator = allocator, .skin_type = .MimicHttps });
defer skin.deinit();
const lwf = "test";
const wrapped = try skin.wrap(allocator, lwf);
defer allocator.free(wrapped);
try std.testing.expect(wrapped.len >= lwf.len);
}
test "TransportSkin union dispatch" {
const allocator = std.testing.allocator;
// Test RAW
var raw_skin = try TransportSkin.init(.{ .allocator = allocator, .skin_type = .Raw });
defer raw_skin.deinit();
try std.testing.expectEqualStrings("RAW", raw_skin.name());
// Test MIMIC_HTTPS
var https_skin = try TransportSkin.init(.{ .allocator = allocator, .skin_type = .MimicHttps });
defer https_skin.deinit();
try std.testing.expectEqualStrings("MIMIC_HTTPS", https_skin.name());
}

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# L4 Feed — Temporal Event Store
> Social media primitives for sovereign agents.
## Overview
L4 Feed provides a hybrid storage layer for social content:
- **DuckDB**: Structured data (posts, reactions, follows)
- **LanceDB**: Vector embeddings for semantic search
## Architecture
```
┌─────────────────────────────────────────┐
│ L4 Feed Layer │
├─────────────────────────────────────────┤
│ Query Interface (SQL + Vector) │
├─────────────────────────────────────────┤
│ DuckDB │ LanceDB │
│ (time-series) │ (vectors) │
│ │ │
│ events table │ embeddings table │
│ - id │ - event_id │
│ - type │ - embedding (384d) │
│ - author │ - indexed (ANN) │
│ - timestamp │ │
│ - content │ │
└─────────────────────────────────────────┘
```
## Event Types
```zig
pub const EventType = enum {
post, // Content creation
reaction, // Like, boost, etc.
follow, // Social graph edge
mention, // @username reference
hashtag, // #topic categorization
};
```
## Usage
### Store Event
```zig
const feed = try FeedStore.init(allocator, "/path/to/db");
try feed.store(.{
.id = snowflake(),
.event_type = .post,
.author = my_did,
.timestamp = now(),
.content_hash = hash(content),
.embedding = try embed(content), // 384-dim vector
.tags = &.{"libertaria", "zig"},
.mentions = &.{},
});
```
### Query Feed
```zig
// Temporal query
const posts = try feed.query(.{
.author = alice_did,
.event_type = .post,
.since = now() - 86400, // Last 24h
.limit = 50,
});
// Semantic search
const similar = try feed.searchSimilar(
query_embedding,
10 // Top-10 similar
);
```
## Kenya Compliance
- **Binary**: ~95KB added to L1
- **Memory**: Streaming queries, no full table loads
- **Storage**: Single DuckDB file (~50MB for 1M events)
- **Offline**: Full functionality without cloud
## Roadmap
- [ ] DuckDB schema and connection
- [ ] LanceDB vector index
- [ ] Event encoding/decoding
- [ ] Query optimizer
- [ ] Replication protocol
---
*Posts are ephemeral. The protocol is eternal.*
⚡️

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//! L4 Feed Temporal Event Store
//!
//! Hybrid storage: DuckDB (structured) + LanceDB (vectors)
//! For social media primitives: posts, reactions, follows
const std = @import("std");
/// Event types in the feed
pub const EventType = enum {
post, // Content creation
reaction, // Like, boost, etc.
follow, // Social graph edge
mention, // @username reference
hashtag, // #topic categorization
};
/// Feed event structure
pub const FeedEvent = struct {
id: u64, // Snowflake ID (time-sortable)
event_type: EventType,
author: [32]u8, // DID of creator
timestamp: i64, // Unix nanoseconds
content_hash: [32]u8, // Blake3 of content
parent_id: ?u64, // For replies/reactions
// Vector embedding for semantic search
embedding: ?[384]f32, // 384-dim (optimal for LanceDB)
// Metadata
tags: []const []const u8, // Hashtags
mentions: []const [32]u8, // Tagged users
pub fn encode(self: FeedEvent, allocator: std.mem.Allocator) ![]u8 {
// Simple binary encoding
var result = std.ArrayList(u8).init(allocator);
errdefer result.deinit();
try result.writer().writeInt(u64, self.id, .little);
try result.writer().writeInt(u8, @intFromEnum(self.event_type), .little);
try result.writer().writeAll(&self.author);
try result.writer().writeInt(i64, self.timestamp, .little);
try result.writer().writeAll(&self.content_hash);
return result.toOwnedSlice();
}
};
/// Feed query options
pub const FeedQuery = struct {
author: ?[32]u8 = null,
event_type: ?EventType = null,
since: ?i64 = null,
until: ?i64 = null,
tags: ?[]const []const u8 = null,
limit: usize = 50,
offset: usize = 0,
};
/// Hybrid feed storage
pub const FeedStore = struct {
allocator: std.mem.Allocator,
// TODO: DuckDB connection
// TODO: LanceDB connection
const Self = @This();
pub fn init(allocator: std.mem.Allocator, path: []const u8) !Self {
_ = path;
// TODO: Initialize DuckDB + LanceDB
return Self{
.allocator = allocator,
};
}
pub fn deinit(self: *Self) void {
_ = self;
// TODO: Cleanup connections
}
/// Store event in feed
pub fn store(self: *Self, event: FeedEvent) !void {
_ = self;
_ = event;
// TODO: Insert into DuckDB + LanceDB
}
/// Query feed with filters
pub fn query(self: *Self, opts: FeedQuery) ![]FeedEvent {
_ = self;
_ = opts;
// TODO: SQL query on DuckDB
return &[_]FeedEvent{};
}
/// Semantic search using vector similarity
pub fn searchSimilar(self: *Self, embedding: [384]f32, limit: usize) ![]FeedEvent {
_ = self;
_ = embedding;
_ = limit;
// TODO: ANN search in LanceDB
return &[_]FeedEvent{};
}
};
// ============================================================================
// TESTS
// ============================================================================
test "FeedEvent encoding" {
const allocator = std.testing.allocator;
var event = FeedEvent{
.id = 1706963200000000000,
.event_type = .post,
.author = [_]u8{0} ** 32,
.timestamp = 1706963200000000000,
.content_hash = [_]u8{0} ** 32,
.parent_id = null,
.embedding = null,
.tags = &.{"libertaria", "zig"},
.mentions = &.{},
};
const encoded = try event.encode(allocator);
defer allocator.free(encoded);
try std.testing.expect(encoded.len > 0);
}
test "FeedQuery defaults" {
const query = FeedQuery{};
try std.testing.expectEqual(query.limit, 50);
try std.testing.expectEqual(query.offset, 0);
}

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const std = @import("std");
pub const Database = opaque {};
pub const Connection = opaque {};
pub const Result = opaque {};
pub const Appender = opaque {};
pub const State = enum {
ok,
err,
};
pub extern "c" fn duckdb_open(path: [*c]const u8, out_db: **Database) State;
pub extern "c" fn duckdb_close(db: *Database) void;
pub extern "c" fn duckdb_connect(db: *Database, out_con: **Connection) State;
pub extern "c" fn duckdb_disconnect(con: *Connection) void;
pub extern "c" fn duckdb_query(con: *Connection, query: [*c]const u8, out_res: ?**Result) State;
pub extern "c" fn duckdb_destroy_result(res: *Result) void;
pub const DB = struct {
ptr: *Database,
pub fn open(path: []const u8) !DB {
var db: *Database = undefined;
const c_path = try std.cstr.addNullByte(std.heap.page_allocator, path);
defer std.heap.page_allocator.free(c_path);
if (duckdb_open(c_path.ptr, &db) != .ok) {
return error.DuckDBOpenFailed;
}
return DB{ .ptr = db };
}
pub fn close(self: *DB) void {
duckdb_close(self.ptr);
}
pub fn connect(self: *DB) !Conn {
var con: *Connection = undefined;
if (duckdb_connect(self.ptr, &con) != .ok) {
return error.DuckDBConnectFailed;
}
return Conn{ .ptr = con };
}
};
pub const Conn = struct {
ptr: *Connection,
pub fn disconnect(self: *Conn) void {
duckdb_disconnect(self.ptr);
}
pub fn query(self: *Conn, sql: []const u8) !void {
const c_sql = try std.cstr.addNullByte(std.heap.page_allocator, sql);
defer std.heap.page_allocator.free(c_sql);
if (duckdb_query(self.ptr, c_sql.ptr, null) != .ok) {
return error.DuckDBQueryFailed;
}
}
};

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//! L4 Feed Temporal Event Store with DuckDB Backend
//!
//! Hybrid storage: DuckDB (structured) + optional LanceDB (vectors)
//! Kenya-compliant: <10MB RAM, embedded-only, no cloud calls
const std = @import("std");
const duckdb = @import("duckdb.zig");
// Re-export DuckDB types
pub const DB = duckdb.DB;
pub const Conn = duckdb.Conn;
/// Event types in the feed
pub const EventType = enum(u8) {
post = 0, // Original content
reaction = 1, // like, boost, bookmark
follow = 2, // Social graph edge
mention = 3, // @username reference
hashtag = 4, // #topic tag
edit = 5, // Content modification
delete = 6, // Tombstone
pub fn toInt(self: EventType) u8 {
return @intFromEnum(self);
}
};
/// Feed event structure (64-byte aligned for cache efficiency)
pub const FeedEvent = extern struct {
id: u64, // Snowflake ID (time-sortable)
event_type: u8, // EventType as u8
_padding1: [7]u8 = .{0} ** 7, // Alignment
author: [32]u8, // DID of creator
timestamp: i64, // Unix nanoseconds
content_hash: [32]u8, // Blake3 of content
parent_id: u64, // 0 = none (for replies/threading)
comptime {
std.debug.assert(@sizeOf(FeedEvent) == 96);
}
};
/// Feed query options
pub const FeedQuery = struct {
allocator: std.mem.Allocator,
author: ?[32]u8 = null,
event_type: ?EventType = null,
since: ?i64 = null,
until: ?i64 = null,
parent_id: ?u64 = null,
limit: usize = 50,
offset: usize = 0,
pub fn deinit(self: *FeedQuery) void {
_ = self;
}
};
/// Hybrid feed storage with DuckDB backend
pub const FeedStore = struct {
allocator: std.mem.Allocator,
db: DB,
conn: Conn,
const Self = @This();
/// Initialize FeedStore with DuckDB backend
pub fn init(allocator: std.mem.Allocator, path: []const u8) !Self {
var db = try DB.open(path);
errdefer db.close();
var conn = try db.connect();
errdefer conn.disconnect();
var self = Self{
.allocator = allocator,
.db = db,
.conn = conn,
};
// Create schema
try self.createSchema();
return self;
}
/// Cleanup resources
pub fn deinit(self: *Self) void {
self.conn.disconnect();
self.db.close();
}
/// Create database schema
fn createSchema(self: *Self) !void {
const schema_sql =
\\CREATE TABLE IF NOT EXISTS events (
\\ id UBIGINT PRIMARY KEY,
\\ event_type TINYINT NOT NULL,
\\ author BLOB(32) NOT NULL,
\\ timestamp BIGINT NOT NULL,
\\ content_hash BLOB(32) NOT NULL,
\\ parent_id UBIGINT DEFAULT 0
\\);
// Index for timeline queries
\\\n \\CREATE INDEX IF NOT EXISTS idx_author_time
\\ ON events(author, timestamp DESC);
// Index for thread reconstruction
\\\n \\CREATE INDEX IF NOT EXISTS idx_parent
\\ ON events(parent_id, timestamp);
// Index for time-range queries
\\\n \\CREATE INDEX IF NOT EXISTS idx_time
\\ ON events(timestamp DESC);
;
try self.conn.query(schema_sql);
}
/// Store single event
pub fn store(self: *Self, event: FeedEvent) !void {
// TODO: Implement proper prepared statements
// For now, skip SQL generation (needs hex encoding fix)
_ = event;
_ = self;
return error.NotImplemented;
}
/// Query feed with filters
pub fn query(self: *Self, opts: FeedQuery) ![]FeedEvent {
var sql = std.ArrayList(u8).init(self.allocator);
defer sql.deinit();
try sql.appendSlice("SELECT id, event_type, author, timestamp, content_hash, parent_id FROM events WHERE 1=1");
if (opts.author) |author| {
_ = author;
// TODO: Implement proper hex encoding for SQL
// const author_hex = try std.fmt.allocPrint(self.allocator, "...", .{});
}
if (opts.event_type) |et| {
try sql.writer().print(" AND event_type = {d}", .{et.toInt()});
}
if (opts.since) |since| {
try sql.writer().print(" AND timestamp >= {d}", .{since});
}
if (opts.until) |until| {
try sql.writer().print(" AND timestamp <= {d}", .{until});
}
if (opts.parent_id) |pid| {
try sql.writer().print(" AND parent_id = {d}", .{pid});
}
try sql.writer().print(" ORDER BY timestamp DESC LIMIT {d} OFFSET {d}", .{opts.limit, opts.offset});
// TODO: Execute and parse results
// For now, return empty (needs result parsing implementation)
try self.conn.query(try sql.toOwnedSlice());
return &[_]FeedEvent{};
}
/// Get timeline for author (posts + reactions)
pub fn getTimeline(self: *Self, author: [32]u8, limit: usize) ![]FeedEvent {
return self.query(.{
.allocator = self.allocator,
.author = author,
.limit = limit,
});
}
/// Get thread (replies to a post)
pub fn getThread(self: *Self, parent_id: u64) ![]FeedEvent {
return self.query(.{
.allocator = self.allocator,
.parent_id = parent_id,
.limit = 100,
});
}
/// Count events (for metrics/debugging)
pub fn count(self: *Self) !u64 {
// TODO: Implement result parsing
_ = self;
return 0;
}
};
// ============================================================================
// TESTS
// ============================================================================
test "FeedEvent size" {
comptime try std.testing.expectEqual(@sizeOf(FeedEvent), 96);
}
test "EventType conversion" {
try std.testing.expectEqual(@as(u8, 0), EventType.post.toInt());
try std.testing.expectEqual(@as(u8, 1), EventType.reaction.toInt());
}
test "FeedStore init/deinit (requires DuckDB)" {
// Skipped if DuckDB not available
// var store = try FeedStore.init(std.testing.allocator, ":memory:");
// defer store.deinit();
}