Providing VANET position integrity through filtering

We describe an efficient method for positioning a vehicle in a noisy environment including malicious attackers and measurement errors. We assume the majority vehicles are honest and report the detection of position of other vehicles to provide vehicle position integrity in vehicular ad hoc network (VANET). The noise input includes bogus position information and position with measurement errors in VANET. Given such noisy input, the algorithm estimates the high resolution location of a vehicle by filtering the malicious location input and by refining low resolution location input. Moreover, the efficiency of the algorithm is highlighted because of the dynamic characteristic of vehicles. We also present results of simulations and evaluate the quality of position estimation.