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

AI-Powered Transaction Consistency Checker (AI-TCC)

Introduction

The AI-Powered Transaction Consistency Checker (AI-TCC) is an AI-driven verification system designed to ensure transaction integrity, consistency, and security within NovaNet’s Hybrid Quantum-Blockchain Infrastructure.

By leveraging machine learning, anomaly detection models, and quantum-assisted verification, AI-TCC ensures that every transaction is legitimate, tamper-proof, and meets network consensus rules.

How AI-TCC Works

AI-Powered Transaction Pattern Analysis

AI-TCC continuously scans and validates transactions in real-time:

  • Detects Double-Spending Attempts – Prevents fraudulent transactions by cross-verifying historical transaction patterns.
  • Ensures Transaction Consistency Across Nodes – AI validates that transactions are propagated correctly across NovaNet nodes.
  • Identifies Unusual Fund Movements – Flags wallet activity that deviates from typical transaction behaviors.
  • Quantum-Enhanced Timestamp Verification – Uses Quantum Entangled Time Stamping (QETS) to detect timestamp manipulation attacks.

Quantum-Assisted Predictive Verification

AI-TCC leverages Quantum Entangled Verification (QEV) to predict transaction legitimacy before finalizing consensus.

$$T_{valid} = W_1 H_{hash} + W_2 S_{sequence} + W_3 P_{predict} + W_4 A_{anomaly}$$

Where:

  • $$T_{valid}$$ = AI-TCC Transaction Validity Score
  • $$H_{hash}$$ = Hash consistency across all nodes
  • $$S_{sequence}$$ = Correct sequence ordering within blocks
  • $$P_{predict}$$ = AI-predicted legitimacy score
  • $$A_{anomaly}$$ = Anomaly detection confidence factor
  • $$W_n$$ = AI-adjusted weight values based on risk assessment

If $$T_{valid}$$ drops below a set threshold, AI-TCC quarantines the transaction for manual review.

Automated Response & Security Actions

If a transaction is flagged as inconsistent, AI-TCC automatically initiates corrective actions:

  • Blocks suspicious transactions before finalization – Prevents malicious replays or forged signatures.
  • Notifies AI-Governed Fraud Detection (AI-VFD) – Logs detected anomalies for further investigation.
  • Rejects inconsistent block data during consensus – Maintains NovaNet’s quantum-consistent ledger integrity.
  • Triggers AI-Based Validator Reputation Adjustments – Penalizes validators who allow repeated inconsistent transactions.

Security Features

  • Real-Time AI Anomaly Detection – Prevents transaction spoofing & timestamp manipulation attacks.
  • Quantum-Assisted Hash Validation – Ensures cross-node transaction consistency.
  • On-Chain AI Transparency – Logs every flagged transaction for governance review.
  • Automatic Validator Penalties – Reduces stake rewards for validators processing fraudulent transactions.

Integration in NovaNet

AI-TCC is integrated across multiple NovaNet smart contracts:

  • NovaNetConsensus.sol – Ensures transaction consistency across validator nodes.
  • NovaNetGovernance.sol – Prevents governance proposal fraud via AI transaction verification.
  • NovaNetTreasury.sol – Detects irregular fund movements in staking & treasury allocations.
  • AIAuditLogger.sol – Records all detected inconsistencies for transparent AI governance.
  • AIValidatorReputation.sol – Penalizes validators who frequently allow inconsistent transactions.

Future Enhancements

  • Quantum Machine Learning (QML) for Advanced Fraud Detection
  • AI-Governed Risk Scoring for Large-Scale Fund Transfers
  • Predictive Analysis for Preemptive Transaction Blocking
  • Cross-Chain Consistency Verification for Multi-Layer Transactions