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Cooperative Adaptive Cruise Control (CACC) is a promising application in autonomous vehicles. In CACC, a platoon is formed, where a leading vehicle sends information to regulate the speed of succeeding "following" vehicles in the road. In a benign environment, CACC provides tremendous benefits, including reducing fuel consumption, maximizing road capacity, and increasing traffic safety. However, one of the critical security threats in CACC is when a platoon has a compromised leading vehicle, which forges acceleration information sent to the platoon members. Such data falsification attack would lead to traffic instability, high fuel consumption, and potential collisions. As an effort to solve this problem, in this paper, we propose a real-time anomaly detection mechanism using physics laws of kinematics along with data fusion. The proposed technique is applied at each vehicle, where the information received …