L. Manjula

Trust-Aware Federated Deep Learning for Network Anomaly Detection Under Non-IID Data

Distributed network systems produce complex traffic flows that are hard to analyze with a centralized architecture of Intrusion Detection Systems. Traffic distributions are different between participating edge nodes, and it can involve sharing sensitive traffic information and require more communication. A trust-aware...