Sybil attack is one of the vital/ serious attacks to vehicular ad-hoc network, because it numerous damages the security of vehicular ad-hoc network and even leads to a warning to lives of teamsters and passengers. Vehicle location is one of the major valuable pieces of information in VANETs. In this paper, we studied a solution to detect the malicious attack based on differences between the normal motion attackers of vehicles and abnormal ones. Each node can accomplish the attack detection self-sufficiently with the limited assistance from the structures of VANETs. An Improve the probability of planned with limited environments at the early deployment stages of VANETs. The independency and feasibility of algorithm are more robust than the previous solutions that rely on addition of neighbouring node.
Sybil attack, Vehicular ad-hoc network, Motion Attackers, feasibility.