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Misbehavior Detection in VANET: A Survey

Misbehavior Detection in VANET: A Survey
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Author(s): Shefali Jain (Dhirubhai Ambani Institute of Information and Communication Technology, India), Anish Mathuria (Dhirubhai Ambani Institute of Information and Communication Technology, India) and Manik Lal Das (Dhirubhai Ambani Institute of Information and Communication Technology, India)
Copyright: 2014
Pages: 14
Source title: Security, Privacy, Trust, and Resource Management in Mobile and Wireless Communications
Source Author(s)/Editor(s): Danda B. Rawat (Georgia Southern University, USA), Bhed B. Bista (Iwate Prefectural University, Japan) and Gongjun Yan (University of Southern Indiana, USA)
DOI: 10.4018/978-1-4666-4691-9.ch007

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Abstract

Vehicular Networks (VANETs) have received increased attention from researchers in recent years. VANETs facilitate various safety measures that help in controlling traffic and saving human lives. As VANETs consist of multiple entities, effective measures for VANET safety are to be addressed as per requirement. In this chapter, the authors review some existing schemes proposed for misbehavior detection. They categorize the schemes into two parts: data centric and non-data centric misbehaving detection. In data-centric misbehaving detection, the receiver believes the information rather than the source of the information. The authors compare schemes in each category with respect to their security strengths and weaknesses. The comparative results show that most of the schemes fail to address required security attributes that are essential for VANET safety.

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