Detection of Sybil Attack in Vanet

Vehicular Ad Hoc Network (VANET) is a kind of dynamic network in whichvehicular nodes can be connected or disconnected whenevernecessary. Vehicular Ad Hoc Networks (VANETs) have the potential to enable the next- generation Intelligence Transportation Systems (ITS). In. ITS. data contributed from vehicles can build a spatiotemporal view of traffic statistics, which can consequently improve road safety and reduce slow traffic and jams. To preserve vehicles privacy, they should use multiple pseudonyms instead of only one identity. The vehicular network is much exposed to the attacks which cause improper functioning of network. There is a possibility that a vehicle may exploit this abundance of pseudonyms and launch Sybil attacks by pretending to be multiple vehicles. These kinds of attacks possess false data, for example, to create fake congestion to affect traffic management data. To detect the Sybil attack, Road Side Units (RSU) behave as a proof for the vehicles unspecified location. The several RSUs data contribution is received and fake trajectories of the vehicles can be solved by running the proof of work (PoW) Algorithm and Merged footprint and privacy- preserving algorithm and framed Hybrid Algorithm for the detection of corruptpseudonym methods. A valid solution should be provided to the upcoming RSU hefore it can obtain proof of location. Creation of multiple trajectories can be prevented by using the PoW in case of low-dense RSUs, and the performance of the Privacy-Preserving algorithm is more suitable when compared to footprint method high-dense RSUs. The speed of vehicles increases the performance of the footprint algorithm. The proposed algorithms are used to detect Sybil attack in an efficient way.