Hidden Markov Model-Based Attack Detection for Networked Control Systems Subject to Random Packet Dropouts

• Published in: IEEE transactions on industrial electronics (1982) Vol. 68; no. 1; pp. 642 - 653
• Main Authors: Lu, Genghong, Feng, Dongqin, Huang, Biao
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Computer worms; Control systems; Cybersecurity; Dropouts; expectation maximization (EM) algorithm; Hazards; hidden Markov model (HMM); Hidden Markov models; Industrial electronics; Markov chains; Networked control systems; Parameter estimation; Process control; Stuxnet attack; time-varying transition probabilities; Transition probabilities

The problem of attack detection for Stuxnet in the industrial control system is discussed in this article. Different operating modes (normal and hazard modes) may occur in the nominal process. In this article, we consider that the transition between different modes follows a Markov chain model with...