AI‐AD - Galactic-Code-Developers/NovaNet GitHub Wiki

AI-Governed Anomaly Detection (AI-AD)

Introduction

AI-Governed Anomaly Detection (AI-AD) is a self-learning AI model that continuously monitors, detects, and mitigates anomalies within NovaNet’s Hybrid Quantum-Blockchain Infrastructure. By leveraging machine learning, quantum pattern recognition, and real-time AI analytics, AI-AD ensures network security, validator integrity, and fraud prevention.

Unlike traditional rule-based anomaly detection systems, AI-AD evolves over time, improving its ability to identify malicious activities, abnormal validator behavior, and governance manipulation.

How AI-AD Works

AI-Powered Real-Time Network Monitoring

AI-AD continuously analyzes on-chain and off-chain data to detect:

  • Validator Performance Anomalies – Detects validators missing blocks, colluding, or manipulating stake weights.
  • Unusual Transaction Patterns – Identifies sudden spikes in transaction volumes, gas fee manipulations, and wash trading.
  • Smart Contract Exploits – Prevents governance proposal attacks & treasury misallocations.
  • Cross-Chain Security Threats – Monitors bridge transactions for suspicious fund movements.

Quantum-Assisted Predictive Analysis

Quantum Entangled Pattern Recognition (Q-EPR) enhances predictive threat detection.

$$A_{score} = W_1 T_{tx} + W_2 S_{stake} + W_3 V_{validator} + W_4 P_{proposal}$$

Where:

  • $$A_{score}$$ = Anomaly Score
  • $$T_{tx}$$ = Transaction irregularity weight
  • $$S_{stake}$$ = Sudden staking redelegation frequency
  • $$V_{validator}$$ = Suspicious validator actions
  • $$P_{proposal}$$ = Unusual governance proposals
  • $$W_n$$ = AI-adjusted anomaly severity weight

AI-AD flags high anomaly scores for on-chain governance review & automated intervention.

AI-Driven Automated Responses

If an anomaly is detected, AI-AD takes action:

  • Triggers validator reputation adjustments – Penalizes validators involved in fraudulent activity.
  • Blocks governance proposals flagged as fraudulent – Prevents exploitation in treasury allocations.
  • Issues AI-powered slashing for validators engaging in collusion.
  • Halts suspicious transactions via quantum-assisted risk scoring.

Security Features

  • Self-Adapting AI Models – Learns from past anomalies to prevent future exploits.
  • Quantum-Powered Pattern Recognition – Detects complex multi-chain fraud attacks.
  • On-Chain AI Governance – All detected anomalies are publicly logged for transparency.
  • Real-Time Anomaly Mitigation – AI automatically flags, quarantines, and mitigates security risks.

Integration in NovaNet

AI-AD is integrated across multiple NovaNet smart contracts:

  • NovaNetValidator.sol – Detects validator-level anomalies (block production, staking fraud).
  • NovaNetGovernance.sol – Blocks governance-based attacks & proposal manipulation.
  • NovaNetTreasury.sol – Monitors treasury fund allocations for fraud prevention.
  • AIAuditLogger.sol – Logs anomaly detections for AI-governed transparency.
  • AISlashingMonitor.sol – Auto-slashes validators engaged in fraudulent activities.

Future Enhancements

  • Quantum Machine Learning (QML) for Multi-Layer Threat Detection
  • AI-Governed Predictive Analytics for Preemptive Fraud Prevention
  • AI-Based Automated On-Chain Policy Adjustments for Network Security