A privacy-preserving and truthful tendering framework for vehicle cloud computing

In this paper, we propose a novel secure and privacy-preserving incentive mechanism in vehicular cloud. The proposed incentive mechanism employs a tendering framework to model the interaction between vehicle cloud server and vehicles. With the proposed incentive mechanism, the cloud server can select participated vehicles to collaborate for its announced tasks, and the selected vehicles can earn payments from participating in and completing the announced tasks. Our mechanism ensures the truthfulness of all the participants and presents an assignment rule that enables VCC to select optimal resources for the tasks. Further, by exploiting homomorphic encryption technique, VCC and RSU cooperate together to run an effective tendering process but without knowing the sensitive information of vehicles.