An optimization technique for intrusion detection of industrial control network vulnerabilities based on BP neural network

The aim of this research is to solve the problem that the intrusion detection model of industrial control system has low detection rate and detection efficiency against various attacks, a method of optimizing BP neural network based on Adaboost algorithm is proposed. Firstly, principal component ana...

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Veröffentlicht in:	International journal of system assurance engineering and management 2022-03, Vol.13 (Suppl 1), p.576-582
Hauptverfasser:	Xia, Wenzhong, Neware, Rahul, Kumar, S. Deva, Karras, Dimitrios A., Rizwan, Ali
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Back propagation networks Control systems Datasets Engineering Engineering Economics Industrial electronics Intrusion Logistics Marketing Neural networks Optimization Optimization techniques Organization Original Article Principal components analysis Quality Control Reliability Safety and Risk
Online-Zugang:	Volltext
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