On Data-Centric Misbehavior Detection in VANETs

@article{Ruj2011OnDM,
  title={On Data-Centric Misbehavior Detection in VANETs},
  author={Sushmita Ruj and Marcos Ant{\^o}nio Cavenaghi and Zhen Huang and Amiya Nayak and Ivan Stojmenovic},
  journal={2011 IEEE Vehicular Technology Conference (VTC Fall)},
  year={2011},
  pages={1-5}
}
Detecting misbehavior (such as transmissions of false information) in vehicular ad hoc networks (VANETs) is a very important problem with wide range of implications, including safety related and congestion avoidance applications. We discuss several limitations of existing misbehavior detection schemes (MDS) designed for VANETs. Most MDS are concerned with detection of malicious nodes. In most situations, vehicles would send wrong information because of selfish reasons of their owners, e.g. for… 

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