Abstract
VANETs (Vehicular Ad hoc Networks) are a special case of ad hoc networks with highly mobile nodes (onboard vehicles). In VANETs, vehicles form trust relationships to achieve many goals. Cooperative driving is one of the goals of VANETs. In this paper, we present a scheme that uses similarity-based trust relationships to detect false safety event messages from abnormal vehicles in VANETs. Our scheme reacts to safety events claims made by a vehicle. The scheme predicts that the source vehicle will react to a truthful safety event report. We perform simulations to study the effectiveness of the proposed scheme in uncovering false safety event messages sent by abnormal vehicles.
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Al Falasi, H., Mohamed, N. (2015). Similarity-Based Trust Management System for Detecting Fake Safety Messages in VANETs. In: Hsu, CH., Xia, F., Liu, X., Wang, S. (eds) Internet of Vehicles - Safe and Intelligent Mobility. IOV 2015. Lecture Notes in Computer Science(), vol 9502. Springer, Cham. https://doi.org/10.1007/978-3-319-27293-1_24
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DOI: https://doi.org/10.1007/978-3-319-27293-1_24
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