Detection of Malicious Attack in Network Vehicle System via Observer

This article investigates the detection problem of false data injection attack (FDIA) in intelligent transportation system. As the typical malicious attacks, the emergency of false data injection attack causes enormous challenge to the security of intelligent transportation system. To face this challenge, a detection ideal using state observer for FDIA is proposed. Through the established dynamic model of intelligent transportation system, the deceptive characteristic of FDIA is given. In contrast to the Chi-square detector, the detection detector using observer can capture the real-time state change caused by attack. Then, the proposed detection criteria using state residuals is given. At last, simulation experiments are presented to verify the effectiveness of the proposed detection method against FDIA on the intelligent transportation system.