Misbehavior Detection in VANET

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.