Privacy Protection Scheme for the Internet of Vehicles Based on Collaborative Services
Quan Zhou, Zhikang Zeng, Kemeng Wang, Menglong Chen, Yulong Zheng
Abstract
With the development of new-generation mobile communication technology, the Internet of Vehicles is playing an increasingly important role in people’s lives. However, the sensitive information contained in its “data fingerprinting” raises many privacy and security concerns. To better protect the location privacy of users on the Internet of Vehicles, this article proposes a collaborative service-based privacy protection scheme for the Internet of Vehicles. In this scheme, each requesting user first initiates a location service query by generating a pairing index of the location points set. Then a customized pairing result threshold is used to determine the collaborating users that can participate in the service response. And in the process, the location privacy of users is secured by location point generalization and encryption. In addition, redundant location service recommendations are eliminated by the proposed repeatability tests. Security analysis and experiments show that this scheme has good performance and anti-privacy leakages, forgery attacks, collusion attacks, etc.