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Chen, C., Wang, X., Han, W. and Zang, B. (2009) A Robust Detection of the Sybil Attack in Urban VANETs. 29th IEEE International Conference on Distributed Computing Systems Workshops, Montreal, 22-26 June 2009, 270-276.
https://doi.org/10.1109/icdcsw.2009.48

has been cited by the following article:

• TITLE: A Systematic Approach for Cyber Security in Vehicular Networks

  AUTHORS: Farhan Ahmad, Asma Adnane, Virginia N. L. Franqueira

  KEYWORDS: Vehicular Networks, Ad Hoc Networks, Cyber Security, Privacy, Vulnerabilities, Threats, Assets, Smart City

  JOURNAL NAME: Journal of Computer and Communications, Vol.4 No.16, December 29, 2016

  ABSTRACT: Vehicular Networks (VANET) are the largest real-life paradigm of ad hoc networks which aim to ensure road safety and enhance drivers’ comfort. In VANET, the vehicles communicate or collaborate with each other and with adjacent infrastructure by exchanging significant messages, such as road accident warnings, steep-curve ahead warnings or traffic jam warnings. However, this communication and other assets involved are subject to major threats and provide numerous opportunities for attackers to launch several attacks and compromise security and privacy of vehicular users. This paper reviews the cyber security in VANET and proposes an asset-based approach for VANET security. Firstly, it identifies relevant assets in VANET. Secondly, it provides a detailed taxonomy of vulnerabilities and threats on these assets, and, lastly, it classifies the possible attacks in VANET and critically evaluates them.