Static output feedback secure synchronization control for Markov jump neural networks under hybrid cyber-attacks
作者：
Highlights：
• A new hybrid cyber-attacks model is established, which consists of random deception attack and DoS attack. Then, by introducing two groups of independent random variables satisfying Bernoulli distribution, MJNNs and hybrid cyber-attacks are brought into a unified framework.
• A mode-independent SOF control strategy as a feasible solution to realize driving based on the output signal is proposed, which is more practical than the traditional one.
摘要
•A new hybrid cyber-attacks model is established, which consists of random deception attack and DoS attack. Then, by introducing two groups of independent random variables satisfying Bernoulli distribution, MJNNs and hybrid cyber-attacks are brought into a unified framework.•A mode-independent SOF control strategy as a feasible solution to realize driving based on the output signal is proposed, which is more practical than the traditional one.
论文关键词：Markov jump neural networks,Static output feedback strategy,Deception attack,Denial of service attack
论文评审过程：Received 6 February 2022, Revised 22 April 2022, Accepted 19 May 2022, Available online 24 May 2022, Version of Record 24 May 2022.
论文官网地址：https://doi.org/10.1016/j.amc.2022.127274
