A novel adaptive cooperative attack design against cyber-physical systems via mixed H-infinity/H- index

作者：Zhang, Tian-Yu; Ye, Dan^*

来源：Journal of the Franklin Institute, 2021, 358(1): 17-34.

DOI：10.1016/j.jfranklin.2018.09.028

• REMOTE STATE ESTIMATION
• FAULT-DETECTION
• MECHANISM

In this paper, a novel cooperative attack policy comprising adaptive and bias signals is studied against the cyber-physical systems (CPSs) based on the model knowledge. From the attacker's stand point, the design objective is deteriorating the system performance and deceiving the previously equipped detector in the CPSs. Combining with H-infinity and H- indexes, the bias signal is elaborately designed to compromise the systems by applying the linear matrix inequality (LMI) technology. Different from the existing works, in order to increase the attack effectiveness, an adaptive signal is also injected to compensate the possible external disturbance by the attacker. Moreover, some technology difficulties in the H-infinity/H- attack design problems are also investigated with the LMI approach. Finally, a practical example is given to illustrate the effectiveness and stealthiness of the cooperative attack policy.

• 出版日期2021-1
• 单位东北大学; 流程工业综合自动化国家重点实验室