Resilient Path Tracking of Unmanned Surface Vehicles Under False Data Injection Attacks: An Adaptive Event-Triggered Approach

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 trigge