Adaptive NIDS: Revolutionizing Cybersecurity Detection

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This project addresses the limitations of outdated signature-based Intrusion Detection Systems (IDS) by proposing an adaptive, blockchain-backed solution. It features a robust data pipeline utilizing Scapy for network flow capture and MQTT for AI inference. The two-tier AI system employs XGBoost for attack detection and an autoencoder for anomaly detection. A consensus mechanism ensures collaborative decision-making, while a comprehensive technical architecture enforces security measures....