文献类型：期刊文献

英文题名：Protocol-Based Control for Hidden Markov Jump Systems With Incomplete Transition Descriptions Against Injection Attacks

作者：Wang, Yuan[1,2];Yan, Huaicheng[2,3];Park, Ju H.[4];Zhang, Hao[5];Shen, Hao[6]

机构：[1]Suzhou Univ Sci & Technol, Sch Elect & Informat Engn, Suzhou 215009, Peoples R China;[2]East China Univ Sci & Technol, Key Lab Smart Manufacturingin Energy Chem Proc Min, Shanghai 200237, Peoples R China;[3]Weifang Univ, Coll Machinery & Automat, Weifang 261061, Peoples R China;[4]Yeungnam Univ, Dept Elect Engn, Gyongsan 38541, South Korea;[5]Tongji Univ, Dept Control Sci & Engn, Shanghai 200092, Peoples R China;[6]Anhui Univ Technol, Sch Elect & Informat Engn, Maanshan 243002, Peoples R China

年份：2025

卷号：12

期号：1

起止页码：165

外文期刊名：IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS

收录：;EI(收录号：20243516931913);WOS:【SCI-EXPANDED(收录号:WOS:001449683500038)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 62333005 and Grant 62073143, in part by the Innovation Program of Shanghai Municipal Education Commission under Grant 2021-01-07-00-02-E00105, and in part by the National Research Foundation of Korea under Grant RS- 2023-00208078 funded by the Korea Government (Ministry of Science and ICT).

语种：英文

外文关键词：Hidden Markov models; Protocols; Network systems; Costs; Symmetric matrices; Stability analysis; Smart manufacturing; Dynamic event-triggered protocol (DETP); hidden Markov jump systems (HMJSs); incomplete transition descriptions; injection attacks

摘要：This article aims to design the dynamic event-triggered protocol for hidden Markov jump systems subject to injection attacks. We initially introduce the hidden Markov model (HMM), which accommodates incomplete transition descriptions found in both the transition probability matrix and the observation probability matrix of the observation signal. Importantly, the underlying HMM demonstrates applicability to a broader range of scenarios than certain existing works. Furthermore, data are vulnerable to cyberattacks before being transmitted to the controller due to the open communication architecture, in which adversaries are assumed to inject false data that are capable of affecting data security. To effectively mitigate unnecessary utilization, we develop a novel dynamic event-based protocol involving dynamic threshold parameter and system modes in the feedback channel. Our methodology tackles the vulnerability of data to cyberattacks in open communication architectures, and the proposed protocol provides a feasible security solution for the hidden Markov jump systems. Eventually, the theoretical findings are demonstrated by two provided simulation examples.