Title: Sybil attack detection based on signature vectors in VANETs

Authors: Chen Chen, Weili Han, Xin Wang

Addresses: Software School, Fudan University, 825 Zhangheng Road, Shanghai, China. ' Software School, Fudan University, 825 Zhangheng Road, Shanghai, China. ' Software School, Fudan University, 825 Zhangheng Road, Shanghai, China

Abstract: Sybil attack is one of the serious threats in vehicular ad hoc networks (VANETs) because drivers may receive wrong information, which could lead to injury the lives of the drivers and passengers, when they are under Sybil attack. This paper, therefore, presents a novel solution named Sybil attack detection based on signature vectors (SADSIV) in VANETs. Each node gathers the digital signatures in their moving; then our algorithm detects Sybil attack by analysing and comparing vehicle nodes| signature vectors independently under the condition of inadequate infrastructures. We improve the feasibility of our approach through the limited infrastructures at the early deployment stages of VANETs. In addition, the independency and feasibility of our algorithm are more robust than the existing solutions which rely on collaboration of neighbouring nodes. Simulation results show that our method outperforms the existing detection schemes in terms of robustness, detection rate and lower system requirements.

Keywords: Sybil attacks; vehicular ad hoc networks; VANETS; digital signature; security; Sybil attack detection; vehicle communications.

DOI: 10.1504/IJCCBS.2011.038948

International Journal of Critical Computer-Based Systems, 2011 Vol.2 No.1, pp.25 - 37

Published online: 11 Mar 2015 *

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