Probabilistic Reputation-Based Authentication Approach in VANET

Abstract

Number of vehicles on roads has recently increased significantly, leading to a sharp rise in traffic congestion. To tackle this issue, Vehicular Ad hoc Networks (VANETs) have emerged as a potential solution for various areas of the automotive industry. However, the absence of a standard authentication technique prevents vehicles from assuring that the received messages from other vehicles are genuine and not malicious. Malicious attackers may infiltrate the VANET and send false messages to other vehicles, which may then relay these messages to others. To address this security concern, we propose a reputation-based probabilistic authentication approach for VANETs, called "PR-BAA". PR-BAA aims to achieve vehicle authentication while maximizing the number of serviced vehicles and minimizing the validation time. Two values are presented: reputation value of each vehicle, which represents the trust value of the vehicle, and probability of fake, which indicates the likelihood that the vehicle is a malicious one. Based on these two values, the vehicle decides whether to verify the received packets or to take them as they are without verification. Simulation results indicate significant improvements in road and vehicle security compared to existing state-of-the-art work.
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