Distributed Sybil Attack Detection in VANET

Abstract

Security and Privacy are among the most important concerns in Vehicular Ad-hoc Networks (VANET). Widely accepted privacy preserving communication scheme in VANETcommunity -that is using pseudonyms -has left open doors for some security problems such as Sybil attack. In this paper, we have proposed an efficient approach detecting this attack while preserving privacy of vehicles in the network.

Preserving Location Privacy in Location Based Services against Sybil Attacks

“…Many forms of security attacks (For e.g., Botnet [15], Man in middle attack, Sybil, etc.,) against VANETs have emerged which could impair the life safety, or loss of income for the implemented value-added services [4]. Among these attacks, Sybil attack, Copyright ⓒ 2015 SERSC which consists in sending messages with multiple forged identities [9]. A Sybil attacker could: a) disturb the generation of routes when a multipath or geographic routing algorithm is used, by appearing in several places in the generated routes; b) affect the results of data aggregation by contributing to the process of aggregation several times; c) evade detection while behaving maliciously by spreading the actions he executes over the forged identities; d) prevent the network from guaranteeing the fairness of resources by claiming several identities and receiving a high percentage of shared resources [11].…”