Research Article
A Novel Stochastic Event-Based Feedback Watermark for Replay Attack Detection
@INPROCEEDINGS{10.1007/978-3-031-34899-0_7, author={Xudong Zhao and Xinyu Wang and Fengde Xu and Yuhan Wang}, title={A Novel Stochastic Event-Based Feedback Watermark for Replay Attack Detection}, proceedings={Sensor Systems and Software. 13th EAI International Conference, S-Cube 2022, Dalian, China, December 7-9, 2022, Proceedings}, proceedings_a={S-CUBE}, year={2023}, month={6}, keywords={CPSs security Stochastic event-based feedback physical watermark Replay attacks}, doi={10.1007/978-3-031-34899-0_7} }- Xudong Zhao
Xinyu Wang
Fengde Xu
Yuhan Wang
Year: 2023
A Novel Stochastic Event-Based Feedback Watermark for Replay Attack Detection
S-CUBE
Springer
DOI: 10.1007/978-3-031-34899-0_7
Abstract
The security of cyber physical systems (CPSs) is the premise of resource sharing in modern industry, which has attracted considerable attention of researchers. Many effective methods have been proposed to defend CPSs, among which physical watermark is one prevailing approach which can enhance the replay attack detection capability of CPSs. In order to make the watermarks work more effective, a novel stochastic event-based feedback physical watermark is proposed in this paper to detect replay attacks. We formulate first the problem taking into account the Kalman filter, the linear quadratic Gaussian (LQG) optimal controller and the(\chi ^2)detector. Then, we characterize the LQG performance loss and the probability of adding a physical watermark in two different scenarios: the system operates with and without replay attacks. It is proved that the probability of adding a watermark signal will increase when replay attacks exist. Furthermore, we discuss the performance of the(\chi ^2)detector under the framework of our approach. Finally, numerical simulations are verified the theoretical results.
