Original paper
DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems
Volume: 17, Issue: 8, Pages: 5615 - 5624
Published: Sep 11, 2020
Abstract
The rapid convergence of legacy industrial infrastructures with intelligent networking and computing technologies (e.g., 5G, software-defined networking, and artificial intelligence), have dramatically increased the attack surface of industrial cyber-physical systems (CPSs). However, withstanding cyber threats to such large-scale, complex, and heterogeneous industrial CPSs has been extremely challenging, due to the insufficiency of high-quality...
Paper Details
Title
DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems
Published Date
Sep 11, 2020
Volume
17
Issue
8
Pages
5615 - 5624