This project implements a Trust-Aware Federated Intrusion Detection System using CICIDS-2017. It combines a dual-head autoencoder with Federated Learning for data privacy. An A/R/C trust mechanism prevents poisoning attacks by filtering malicious clients, while evaluation on zero-day threats ensures robust real-world generalization.
☆15Apr 12, 2026Updated 5 months ago
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