Pseudonym Tracking Certificateless Aggregate Signature Scheme for Preventing Replay Attacks in a Platoon of Vehicles

Abstract

Cooperative Adaptive Cruise Control (CACC) is an optimistic innovation which allows connected automated vehicles to share parameters with other Connected vehicles in the advanced traffic management system in a distributed manner, thus increasing driving safety and roadway capacity and reducing energy consumption. However, CACC technology is very susceptible to replay attacks because of the connected nature of its technology, so in this technology, when a car within this platoon gets compromised the rest of the vehicles in that platoon under the CACC technology become compromised as well and so it is very important to take steps in order to mitigate such attacks in CACC. This research utilizes the pseudonym tracking certificateless aggregate signature PT-CAS scheme based on existing certificateless signature schemes which ensure user privacy as well as detect and mitigate replay attacks during and after an attack using the pseudonym tracking algorithm. For experimental results we implement algorithm after analysis of our experimental results, we incorporate a pseudonym tracking algorithm to the conventional signature schemes in order to ensure user privacy, after experimental implementation we observe that our proposed PT-CAS scheme is performatively better in terms of computational costs, length of the aggregate signature and privacy preservation than the existing signature schemes, having 97.1% accuracy in detecting and mitigating well-known forms of replay attacks in a platoon of vehicles.