Robust algorithm for attack detection based on time‐varying hidden Markov model subject to outliers

• Published in: International journal of adaptive control and signal processing Vol. 34; no. 10; pp. 1537 - 1558
• Main Authors: Lu, Genghong, Feng, Dongqin, Huang, Biao
• Format: Journal Article
• Language: English
• Published: Bognor Regis Wiley Subscription Services, Inc 01.10.2020
• Subjects: Algorithms; Computer simulation; Data analysis; expectation maximization algorithm; hidden Markov models; Markov chains; outliers; Outliers (statistics); Parameter estimation; robust attack detection; Robustness; time‐varying transition probabilities; Transition probabilities

Summary The problem of robust attack detection and prediction for networked control systems in the presence of outliers is discussed in this article. The conventional hidden Markov model (HMM) is trained to learn the system behavior (ie, transitions between different operating modes) in the nominal...