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Application of Secondary Information for Misbehavior Detection in VANETs

By Ashish Vulimiri, Arobinda Gupta, Pramit Roy, A N. Muthaiah and Arzad A. Kherani


Abstract. Safety applications designed for Vehicular Ad Hoc Networks (VANETs) can be compromised by participating vehicles transmitting false or inaccurate information. Mechanisms that detect and report such misbehaving nodes leading to node eviction or termination of such messages is an important problem in VANETs. In this paper, we investigate the possibility of using correlated information or alerts, called “secondary alerts”, generated in response to another alert, called as the “primary alert ” to verify the truth or falsity of the primary alert received by a vehicle. We first propose a framework to model how such correlated secondary information observed from more than one source can be integrated to generate a “degree of belief ” for the primary alert. We then show an instantiation of the model proposed for the specific case of Post-Crash Notification as the primary alert received and Slow/Stopped Vehicle Advisory as the secondary alerts possibly generated in response to the primary alert. Finally, we present the design and evaluation of a misbehavior detection scheme (MDS) for PCN application using such correlated information to illustrate that such information can be used efficiently for MDS design

Topics: Key words, VANET, Misbehavior detection, Primary alert, Secondary
Year: 2013
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
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