ACPP: An effective privacy preserving scheme for precise location sharing in internet of vehicles

Abstract

Location-aware privacy protection is a key issue in mobile applications. And the issue is more concerned in Internet of Vehicles (IoV) because of the needs for more accurate location information. Conventional location hiding methods are not suitable to be used in IoV scenario, since they blur the location information fuzzily. In this paper, the dynamic pseudonym method is used to break the link between vehicle's identity and real-time location, which can improve the privacy security without loss of location precision. In order to overcome the weakness of constant period of changing pseudonym, a scheme of adaptive changing of periodical pseudonym (ACPP) is proposed. This scheme models the privacy leak during one pseudonym period as gamma distribution, considering the information sending counts and intervals. Then the privacy leak model is convoluted with the original constant pseudonym period, which can indicate the appropriate time when changing the pseudonym based on the realtime location-aware communication. Finally, ACPP is simulated in Vissim. And the result demonstrates the correctness and effectiveness of the scheme.