Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review

arXiv:2304.10550v2 Announce Type: replace
Abstract: Globally, the external internet is increasingly being connected to industrial control systems. As a result, there is an immediate need to protect these networks from a variety of threats. The key infrastructure of industrial activity can be protected from harm using an intrusion detection system (IDS), a preventive mechanism that seeks to recognize new kinds of dangerous threats and hostile activities. This review examines the most recent artificial-intelligence techniques that are used to create IDSs …

arxiv can connected control control networks control systems cs.ai cs.cr cs.lg cs.ni cs.sy detection eess.sy external harm industrial industrial control industrial control systems infrastructure internet intrusion intrusion detection key networks protect result review systems the key threats transfer