A review of Federated Learning in Intrusion Detection Systems for IoT. (arXiv:2204.12443v1 [cs.CR])

Intrusion detection systems are evolving into intelligent systems that
perform data analysis searching for anomalies in their environment. The
development of deep learning technologies opened the door to build more complex
and effective threat detection models. However, training those models may be
computationally infeasible in most Internet of Things devices. Current
approaches rely on powerful centralized servers that receive data from all
their parties -- violating basic privacy constraints and substantially
affecting response times and operational costs due to the …

detection intrusion intrusion detection iot review systems