AI‐AD
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.
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 Entangled Pattern Recognition (Q-EPR) enhances predictive threat detection.
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.
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.
- 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.
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.
- 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
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