Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19763
Title: Detecting Sybil attacks in VANETs
Authors: Yu, B
Xu, CZ
Xiao, B 
Keywords: Position verification
Sybil attacks
VANET
Issue Date: 2013
Publisher: Academic Press
Source: Journal of parallel and distributed computing, 2013, v. 73, no. 6, p. 746-756 How to cite?
Journal: Journal of parallel and distributed computing 
Abstract: Sybil attacks have been regarded as a serious security threat to Ad hoc Networks and Sensor Networks. They may also impair the potential applications in Vehicular Ad hoc Networks (VANETs) by creating an illusion of traffic congestion. In this paper, we make various attempts to explore the feasibility of detecting Sybil attacks by analyzing signal strength distribution. First, we propose a cooperative method to verify the positions of potential Sybil nodes. We use a Random Sample Consensus (RANSAC)-based algorithm to make this cooperative method more robust against outlier data fabricated by Sybil nodes. However, several inherent drawbacks of this cooperative method prompt us to explore additional approaches. We introduce a statistical method and design a system which is able to verify where a vehicle comes from. The system is termed the Presence Evidence System (PES). With PES, we are able to enhance the detection accuracy using statistical analysis over an observation period. Finally, based on realistic US maps and traffic models, we conducted simulations to evaluate the feasibility and efficiency of our methods. Our scheme proves to be an economical approach to suppressing Sybil attacks without extra support from specific positioning hardware.
URI: http://hdl.handle.net/10397/19763
ISSN: 0743-7315
DOI: 10.1016/j.jpdc.2013.02.001
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