Simulation Framework for Traffic Control, Secured Communication & Privacy Protection with Intrusion Detection for VANETs

Abstract

VANET architecture supports the inter-vehicular communication as well as vehicle to infrastructure communication by means of the direction of the vehicles, mitigation of the events such as accidents, bad roads are being propagated. However, increasing usage of VANETs has resulted in security concerns, such as eavesdropping (unwanted vehicular information been obtained by unauthorized nodes), privacy hacking (obtaining the data of the government vehicles and other important vehicles) miss information (vehicles mitigating false alarm about an accident or congestion in a part of a road). Therefore, VANET requires updated support for intrusion detection system, intrusion mitigation and risk minimization of the system.

our study finds out that such a V2V communication adds immense amount of overheads and is not realistic for intrusion detection as well as for mitigating the event notification. Therefore, in this work we have proposed a noble V2I configuration for intrusion detection system where the intrusion detection is being performed by the infrastructure known as RSU, from the information obtained by the vehicles. We show through the results, that our proposed system produces the better packet delivery ratio at a lower latency with an improved accuracy for intrusion detection system over conventional V2I system.