In vehicular networks, vehicle claimed positions should be independently verified to help protect the wider network against location-spoofing attacks. In this work, we propose a new solution to the problem of location verification using the Cramer-Rao Bound (CRB) on location accuracy. Compared to known-optimal solutions, our technique has the advantage that it does not depend on a priori information on the probability of any vehicle being malicious. To analyze the performance of our new solution, we compare its operation, under Received Signal Strength (RSS) inputs, with a known optimal solution for this problem that assumes the probability of a vehicle being malicious is known. The results show that our new solution provides close to optimal performance over a wide range of anticipated channel conditions. Our solution is simple to deploy and can easily be integrated into a host of vehicular applications that use location information as an input.
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