Secure and Privacy-Preserving Trust Management System for Trustworthy Communications in Intelligent Transportation Systems
Ikram Ud Din, Kamran Ahmad Awan, Ahmad Almogren
Abstract
As Intelligent Cyber-Physical Transportation Systems (ICPTS) become more complex and interconnected, ensuring secure and reliable communication between components and entities becomes a critical challenge. In this paper, we propose a Context-Aware Cognitive Memory Trust Management System (CACMTM) for ICPTS that leverages game theory to model trust interactions and combines several trust components, such as evaluation, decision, update, and knowledge modules, to provide an effective and reliable trust management solution. This approach takes into account the unique requirements of Customer Centric Communication and Networked Control for Intelligent Cyber-Physical Transportation Systems (CNC-ICTS). We present three algorithms that implement these modules and evaluate the CACMTM’s performance using various metrics and parameters, such as execution time, scalability, and detection of different types of attacks. Our experimental results show that the proposed approach outperforms existing trust management solutions and can effectively detect and mitigate various types of attacks in the context of CNC-ICTS. We also provide recommendations for future research in this area.