Detection and Mitigation of False Data Injection Attacks for MEC-based Leader–Follower CACC

Countermeasures against false data injection (FDI) attacks are necessary for developing cooperative adaptive cruise control (CACC) systems. Fixed redundant path selection (FRPS) based on majority voting has been used to detect and mitigate FDI attacks in leader–follower CACC systems. However, the applications of FRPS are limited to distributed CACC architectures. This study proposes the application of FRPS to a centralized CACC architecture based on multiaccess edge computing (MEC). Simulations confirm that the proposed method achieves stable and safe MEC-based leader–follower CACC while receiving FDI attacks.