Time Synchronization Attack and Countermeasure for Multisystem Scheduling in Remote Estimation

• 成果类型: Article
• 署名作者: Guo, Ziyang; Ni, Yuqing; Wong, Wing Shing; Shi, Ling
• 署名单位: Hong Kong University of Science & Technology; Chinese University of Hong Kong
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2020.2997318
• 发表日期: 2021
• 页码: 916-923
• 关键词: Multisystem scheduling; remote state estimation; shift invariance; time synchronization attack

摘要

We consider time synchronization attack against multisystem scheduling in a remote state estimation scenario where a number of sensors monitor different linear dynamical processes and schedule their transmissions through a shared collision channel. We show that by randomly injecting relative time offsets on the sensors, the malicious attacker is able to make the expected estimation error covariance of the overall system diverge without any system knowledge. For the case that the attacker has full system information, we propose an efficient algorithm to calculate the optimal attack, which spoofs the least number of sensors and leads to unbounded average estimation error covariance. To mitigate the attack consequence, we further propose a countermeasure by constructing shift invariant transmission policies and characterize the lower and upper bounds for system estimation performance. Simulation examples are provided to illustrate the obtained results.