A Misbehavior Detection System for Vehicular Delay Tolerant Networks.

In vehicular networks, many vehicles participate in the network and transfer messages for each other. At least for the next years, i.e., until a high rate of vehicles equipped with according network technology has been reached, we believe that delay-tolerant methods are useful in such networks, leading to Vehicular Delay Tolerant Networks. However, in such a cooperative system malicious or selfish nodes may exist which can have a devastating effect on network performance. Traditional security protocols cannot completely address such problems in Vehicular Delay Tolerant Networks. Hence we propose a misbehavior detection system to defend against these attacks. By collecting and securely exchanging data of previous encounters, vehicles can assess the trustworthiness of other vehicles in order to detect malicious nodes. We present preliminary simulation results showing that our misbehavior detection system performs effectively.