AI Powered Intrusion and Fraud Detection System
AI-powered intrusion and fraud detection system designed to enhance security within the Qubic Network. The system monitors real-time transaction data, analyzes wallet behavior, and detects suspicious patterns such as unusually large transfers, repeated failed transactions, and anomalous contract interactions. Using a combination of rule-based detection and machine learning (Isolation Forest), it assigns a risk score to each wallet and generates instant alerts via Discord or Telegram. Built entirely on Google Colab with Python and Streamlit, the prototype demonstrates how lightweight, autonomous security tools can protect DeFi ecosystems and improve user trust.
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