A Location-Based Path Privacy Protection Scheme in Internet of Vehicles

Abstract

With the rapid development of Vehicular Ad-hoc Network (VANETs), Frequently communication between vehicles and base stations has generated a large amount of trajectory information. The vehicle trajectory data can be used for real-time traffic management, intelligent driving and onboard entertainment, but it brings huge storage pressure and risk of privacy leakage. Although existing trajectory protection algorithms can generate a large number of similar trajectories, these virtual trajectories are easily identified by an attacker and cannot be virtualized according to vehicles needs. Based on the existing rotation algorithms, we proposes a virtual trajectory generation algorithm(VTG), which generates corresponding virtual points according to the user's needs at each positions and form virtual trajectories through connecting virtual position points. At the same time, the edge node are regarded as trusted third party to ensure physical control in the privacy protection model and served as a bridge between users and Location Based Services (LBS) while storing part of trajectory data. Finally, the effectiveness and security of the method are verified through a large number of simulations, our experiments indicate that the method can provide better privacy protection for users.