AbstractVehicular ad-hoc networks (VANETs) are the wireless network in which vehicles are equippedwith devices that communicates with each other via data packets. VANETs are mainlyadvocated for applications such as traffic collision detection, toll collection, controlling trafficcongestion, weather forecasting, road diversion warning, car maintenance etc. Security ofVANETs are vulnerable to various attacks such as Denial of Service (DoS), GPS spoofing,message alteration, black hole, wormhole attack, spamming attack, node impersonationattack, Sybil attack, Man-In-The-Middle attack etc. One of the most hazardous attacks is Sybilattack in which malicious vehicle mislead other vehicles by duplicating multiple identities andgenerating false information. The genuine vehicle believes this false information and henceleads to road accidents, traffic congestion, chaos etc. We have proposed a method to secureVANETs from Sybil attack using Artificial Bee Colony (ABC) Algorithm in proximity ofcloseness centrality. This algorithm optimizes node position by monitoring nodes andcalculating shapely values thus enhancing network performance which is demonstrated insimulation results.Keywords: VANET, artificial bee colony, Sybil attack, closeness centrality, AODVCite this ArticleHarpreet Kaur, Sumit Miglani. Detectionand Prevention of Sybil Attack usingArtificial Bee Colony Algorithm inProximity of Closeness Centrality.Journal of Network Security. 2017; 5(2):28–36p.
