A Reputation-Based Adaptive Trust Management System for Vehicular Clouds

Advances in vehicular networks, embedded devices and cloud computing will enable the formation of vehicular clouds of computing, communication, sensing, power and physical resources. Owing to the dynamic nature of the vehicular cloud, continuous monitoring on trust attributes in necessary to enforce service-level agreement, This paper proposes RA-VTrust, Reputationbased Adaptive Vehicular Trust model for efficiently evaluating the competence of a vehicular cloud service based on its multiple trust attributes. In RA-VTrust, an adaptive trust and a reputation managements based on variable precision rough sets are suggested to trust data mining and reputation knowledge discovery. The adaptive trust management provides cloud consumers with the most suitable trust for vehicular services because it is performed by considering vehicular service level agreement (VSLA) documents and reputation services. The performance of RA-VTrust is evaluated through a simulation.