How to protect privacy in floating car data systems
Proceedings of the fifth ACM international workshop on VehiculAr Inter-NETworking
A novel defense mechanism against sybil attacks in VANET
Proceedings of the 3rd international conference on Security of information and networks
Defense against Sybil attack in vehicular ad hoc network based on roadside unit support
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
VWCA: An efficient clustering algorithm in vehicular ad hoc networks
Journal of Network and Computer Applications
Improved access control mechanism in vehicular ad hoc networks
ADHOC-NOW'11 Proceedings of the 10th international conference on Ad-hoc, mobile, and wireless networks
A sybil attack detection approach using neighboring vehicles in VANET
Proceedings of the 4th international conference on Security of information and networks
A Distributed Secure Architecture for Vehicular Ad Hoc Networks
International Journal of Business Data Communications and Networking
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Vehicular ad hoc networks (VANETs) are being advocated for traffic control, accident avoidance, and a variety of other applications. Security is an important concern in VANETs because a malicious user may deliberately mislead other vehicles and vehicular agencies. One type of malicious behavior is called a Sybil attack, wherein a malicious vehicle pretends to be multiple other vehicles. Reported data from a Sybil attacker will appear to arrive from a large number of distinct vehicles, and hence will be credible. This paper proposes a light-weight and scalable framework to detect Sybil attacks. Importantly, the proposed scheme does not require any vehicle in the network to disclose its identity, hence privacy is preserved at all times. Simulation results demonstrate the efficacy of our protocol.