期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：2
页码：115-117
语种：English
出版社：Ayushmaan Technologies
摘要：In VANET, many attacks rely on having the attacker generate multiple identities to simulate multiple nodes: this is called the Sybil attack. By creating a large number of nameless identities, using them to gain large influence to the system.In this paper, we propose a light-weight and scalable framework to detect Sybil attacks. Utilizing social relationship among trajectories according to the similarity definition of two trajectories, Footprint can recognize and therefore dismiss “communities” of Sybil trajectories To prevent a vehicle from abusing the pseudonyms to launch a Sybil attack, hashing is used. In our objective system, the Department of Motor Vehicle provides vehicles with a unique pool of pseudonyms, used for hiding a vehicle’s unique identity. Vehicle pseudonym is stored in RSU. Now RSU evaluate hashed values and then determine pseudonyms of same pool to desrease symble attack Our proposed schema mainly focuss on detecting sybil attack and provide security.
关键词：Road Side Units (RSU);Sybil Attack;Pseudonyms;VANET
