Unmanned surface vehicles (USVs) are gaining increasing attention for maritime missions such as environmental monitoring, target surveillance, and autonomous transport. However, the security and reliability of their control systems frequently face challenges from cyber-physical threats, particularly deception attacks that manipulate sensor data or communication signals. To address this issue, this paper proposes an adaptive security control scheme incorporating an adaptive threshold event triggering mechanism (ATETM). To counteract the unknown time-varying gains introduced by false data injection (FDI) attacks, novel coordinate transformations and the Nssbuam function are introduced. Furthermore, the incorporation of the ATETM mechanism reduces communication overhead while maintaining stability. Rigorous Lyapunov analysis demonstrates boundedness for all signals within the closed-loop system. Simulation studies ultimately validate that this approach not only achieves precise path-tracking performance under deception attacks but also significantly reduces control update frequency.
Liu et al. (Fri,) studied this question.