Scheduler-pointed false data injection attack for event-based remote state estimation

• Published in: Automatica (Oxford) 2024-04, Vol.162, p.111523, Article 111523
• Main Authors: Xu, Qiulin, Xiong, Junlin
• Format: Article
• Language: English
• Subjects: Cyber–physical security; Event-based scheduling; False data injection attack; Remote state estimation
• ISSN: 0005-1098; 1873-2836
• DOI: 10.1016/j.automatica.2024.111523

In this paper, an attack problem is investigated for event-based remote state estimation in cyber–physical systems. Our objective is to degrade the effect of the event-based scheduler while bypassing the χ2 false data detector. A two-channel scheduler-pointed false data injection attack strategy is proposed by modifying the numerical characteristics of innovation signals. The attack strategy is proved to be always existent, and an algorithm is provided to find it. Under the proposed attack strategy, the scheduler becomes almost invalid and the performance of the remote estimator is degraded. Finally, one simulation example of a flight vehicle is provided to illustrate our theoretical results.