Decentralized Distance-based Strategy for Detection of Sybil Attackers and Sybil Nodes in VANET

Abstract

Rapid development and deployment of VANET necessitate solutions to support its safe applications. One of the major threats to VANET is the Sybil attack that uses numerous fake identities to spread misleading information around the network, resulting in traffic jams, accidents, and theft. Most of the existing solutions to Sybil attacks in VANET concentrate mainly on detecting the presence of Sybil attacks and identifying the virtual Sybil nodes. Though solutions exist to detect the Sybil attacker node, the attack scenarios where multiple Sybil attackers generate the Sybil nodes collaboratively persist as a research gap that needs to be addressed effectively. In this paper, we concentrate on detecting multiple Sybil attackers and the Sybil nodes generated in VANET using a decentralized, distance-based strategy. Despite the performance verification of the proposed technique using simulation, in this paper, we evaluate it in a real-time test-bed environment of VANET to verify its practical applicability.