Ivan Stojmenovic

  1. Data-centric Misbehavior Detection in VANETs.

    Authors: Sushmita Ruj, Marcos Antonio Cavenaghi, Zhen Huang, Amiya Nayak, Ivan Stojmenovic
    Subjects: Networking and Internet Architecture
    Abstract

    Detecting misbehavior (such as transmissions of false information) in
    vehicular ad hoc networks (VANETs) is 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 gaining access to a particular lane.

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