Detection and Estimation of False Data Injection Attacks by Unmanned Surface Vessels

This paper mainly studies the security problems of false data injection attack (FDIA) and external environment interference of unmanned surface vessels. FDIA and environmental disturbance are considered at the same time, and the interference of these two parts is analyzed separately. First, the attack scenario is analyzed. A model of FDIA with great concealment is established. Secondly, we introduce a detection mechanism that identifies system interference by analyzing the residual error of the authentication signal. To mitigate FDIA’s impact on the unmanned vessels control system, we derive and establish a formula for its influence on the ship’s dynamics. Additionally, an observer is designed to estimate the extent of FDIA. Finally,a simulation is provided to confirm the method’s effectiveness.