L-P2DSA: Location-based privacy-preserving detection of Sybil attacks

Abstract

In this paper we propose an approach that uses infrastructures and localization of nodes to detect Sybil attacks. Security and privacy are two major concerns in VANETs. Regrettably, most privacy-preserving schemes are prone to Sybil attacks, where a malicious user pretends to be multiple vehicles. L-P2DSA is an improvement to C-P2DAP [3], as it allows detecting Sybil attacks while reducing the load on the DMV. This is done due to the cooperation between adjacent RSUs to determine the location of suspicious nodes and measure a distinguishability degree between the positions of these malicious nodes. The detection in this manner doesn't need for any vehicle to disclose its identity; thus preserving privacy. The applicability of our contribution is validated through simulation of a realistic test case.