A Hybrid Trust Management Strategy for Reliable Cyber-Physical System in Intelligent Transportation

With the advancement of intelligent transportation cyber-physical systems (TCPS), significant opportunities for Vehicular Ad-hoc transportation cyber-physical systems (VTCPS) have been evolved, yet they also encounter several security challenges. A distributed intelligent trust management strategy (ITMS), is presented to mitigate potential internal attackers and false messages in VTCPS. Given the attributes of VTCPS, the system assesses the trustworthiness of vehicle nodes within the network with an enhanced subjective logic model that integrates both direct and indirect trust, thereby building trust connections among nodes based on their contact histories. The reliability of communications is assessed based on node trust and inter-node distance, while deceptive messages and malevolent nodes inside the network are detected according to the trust evaluation outcomes. To assess the efficacy of the proposed method, four distinct assault scenarios were devised, and comparative experiments were executed on the Veins vehicular network simulation platform to evaluate the performance of the ITMS scheme under diverse attack conditions. The experimental findings indicate that the ITMS scheme can proficiently counteract diverse attacks in VTCPS and can still detect the majority of fraudulent messages and malevolent nodes, even with a 40% ratio of malicious nodes. Furthermore, the efficacy of the ITMS scheme markedly surpasses that of the baseline scheme, which consists of a subjective logic model and a distance-based weighted voting mechanism.