%0 Journal Article
%A SHI Zhi-qiang
%A SUN Li-min
%A YANG An
%A YAO Yun-zheng
%T Application of BP Neural Network Model in Device State Detection of Industrial Control System
%D 2016
%R 10.13190/j.jbupt.2016.s.004
%J Journal of Beijing University of Posts and Telecommunications
%P 14-18
%V 39
%N s1
%X <p>The industrial control system (ICS) security is closely related to the security of national critical infrastructure, so, more and more countries began to increase the importance of ICS. Aiming at the physical devices in ICS field control net, an innovative intrusion detection algorithm was presented to analysis and estimate whether the devices are in normal operation condition. This algorithm is designed to detect internal or external intrusion actions in ICS and complex attack by maliciously using normative control commands.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2016.s.004