This repository contains an early prototype of the Autonomous Defense Node (ADN) created during the initial phase of the DigiByte Quantum Shield vision.
It is no longer maintained, not production-ready, and has been fully replaced by:
👉 ADN v2 — the official, tested, CI-verified implementation 🔗 https://github.com/DarekDGB/DigiByte-ADN-v2
Why this repo is archived • The architecture here is older and incomplete • v2 includes full test suite, new threat model, and better integration with Sentinel AI v2 + DQSN • This repository remains online only for historical reference and transparency • All future development happens in the v2 repo
Important Note
If you are a developer, node operator, or researcher: ➡️ Do not use this code in any production environment. Use the v2 implementation instead.
🛡️ DigiByte Autonomous Defense Node (ADN)
**Self-Defending. Self-Healing. Quantum-Aware.
The third layer of the Defense Architecture for DigiByte.**
MIT Licensed — © 2025 DarekDGB & Contributors
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📘 Overview
The Autonomous Defense Node (ADN) is the third and final layer of the DigiByte Quantum Defense Stack, following: 1. Sentinel AI – behavioral analysis & anomaly detection 2. DQSNet (Quantum Shield Network) – cryptographic & network-level quantum threat scoring 3. ADN – autonomous response, reflex engine & self-defense execution
ADN transforms a standard DigiByte node into an autonomous, AI-assisted, self-defending system capable of detecting, escalating and responding to threats in real time — without human intervention.
It is designed for the coming era of: • post-quantum cryptography • AI-assisted attacks • high-speed multi-chain threat propagation • self-organizing blockchain security
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🚀 Key Features
✔ Autonomous Defense Runtime
Runs continuously, collecting metrics, evaluating risk and executing defensive actions automatically.
✔ Integrated with Sentinel AI & DQSNet
Fusion engine consumes risk signals from both systems to compute a unified defense score.
✔ Zero-Trust Reflex Engine
Immediate defensive actions when thresholds are exceeded: • restricted RPC operations • controlled withdrawal throttling • node safe-mode activation • alerting external monitoring systems
✔ Quantum-Aware
Uses DQSNet inputs to track: • entropy collapse • signature repetition • nonce reuse • reorg sequences • mempool manipulation • cross-chain alerts
✔ Self-Healing Mode
Detects anomalous states and attempts automatic recovery.
✔ Optional Mesh Coordination (Future)
Anonymous inter-node signaling to propagate early warnings.
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🧩 Architecture +---------------------------+ | DigiByte Full Node | +---------------------------+ | v +-----------------------------------+ | Metrics Collector (ADN) | +-----------------------------------+ | v +---------------------------+ +-------------------------+ | Sentinel AI Input | | DQSNet Input | +---------------------------+ +-------------------------+ \ / \ / v v +------------------------+ | Fusion Risk Engine | +------------------------+ | v +--------------------------+ | Autonomous Actions | | (Reflex & High-Level) | +--------------------------+ | v Node Defense & Hardening 🔐 Defense Level Classification Level Score Range Meaning Behavior Normal 0.00 – 0.24 No threats detected Passive monitoring Elevated 0.25 – 0.49 Suspicious activity Increased metrics sampling High 0.50 – 0.74 Confirmed threat patterns Key rotation, throttling Critical 0.75 – 1.00 Active attack in progress Autonomous defense actions 📦 Repository Structure /adn_core.py → main engine (metrics, scoring, execution) /ADN_Whitepaper_v1.pdf → full conceptual overview /ADN_TechnicalSpec_v1.pdf → module & API specifications /ADN_DeveloperDoc_v1.pdf → integration & development guide /ADN_CodeBlueprint_v1.pdf → architecture blueprint /LICENSE → MIT License /README.md → you are here 🧠 ADN Core Logic (High-Level) collect_node_metrics() ↓ query_sentinel_ai() query_dqsnet() ↓ fuse_risk_scores() ↓ level = classify_score() ↓ execute_defense(level) ▶ How to Run python adn_core.py Requirements: • Python 3.9+ • No external dependencies for prototype • Optional: Sentinel AI server + DQSNet API for full integration 📡 Integration Points
Planned connections: • DigiByte Core (RPC hooks) • DQSNet threat scoring API • Sentinel AI anomaly engine • Alert systems (Telegram/Discord/Webhooks) Defense Architecture
ADN is part of a three-layer security model developed by DarekDGB: 1. Sentinel AI – the sensor 2. DQSNet – the shield 3. ADN – the reflex
Together they form the strongest open-source quantum defense stack in the blockchain space.