Abstrait

Sybil Attack Detection with Reduced Bandwidth overhead in Urban Vehicular Networks

D.Balamahalakshmi

Previously, in urban vehicular networks the location privacy of vehicle is more considerable. An attacker can easily launch a Sybil attack by succeeding multiple hostiles. They proposed a Sybil attack detection mechanism, footprint and trajectory of vehicle for identification also preserving the location privacy of vehicle. The RSU will generate the authorized message when the vehicle passes through the RSU. The authorized message consists of appearance of vehicle at particular location and at particular time. This will be taken into verification whenever required. The verification considers the series of authorized message generated by multiple RSU. In this paper we implement a mechanism (Trusted Authority (TA) Information) to overcome the failure of RSU and also decrease the false positive rate (incorrect identification-real vehicle as fraudulent).Accurate security analysis and extensive trace-driven simulations express the efficacy of Footprint.