An Efficient and Secure Data Transmission Mechanism for Internet of Vehicles Considering Privacy Protection in Fog Computing Environment

Abstract

Aiming at the problems for existing data transmission mechanisms in Internet of vehicles, such as real-time performance, high efficiency of computing tasks, vehicle data privacy, etc., this paper proposes an efficient and secure data transmission mechanism for Internet of vehicles considering privacy protection in fog computing environment. Firstly, this paper proposes a system model and main message attack model for Internet of vehicles in fog computing environment, and designs a data transmission system based on privacy protection to improve data transmission efficiency in Internet of vehicles and protect the privacy information of vehicle users. Then, the task allocation and data aggregation mechanism of privacy protection is proposed in the crowd-sensing model based on the assistance of fog nodes, and the location prediction method based on social infection theory is used to predict the vehicle location for better allocating network resources. Finally, for the selfishness of end users in Internet of vehicles, selfish node incentive mechanism based on Robin Steiner bargaining game model is proposed to encourage selfish nodes to perform data transmission and reduce time delay. Operational network environment simulation software is used to carry out experiments. The experimental results show that when malicious nodes and selfish nodes exist in the Internet of Vehicles, the proposed method has stronger competitiveness in resisting attacks and improving the efficiency of message transmission compared with other methods, which can achieve efficient and secure data transmission.