Network Location Privacy Protection Based on Game Theory

Abstract

The purpose of this paper is to protect the privacy of vehicles and passengers. In recent years, with the rapid development of vehicle networking, the location privacy of vehicle networking involves sensitive information about vehicles as well as passengers. It is of great theoretical and practical significance to put forward the privacy protection of vehicle network location. This paper is based on identity concealment, fuzzy method, cryptography and information theory. The goal is to fully protect the privacy of the vehicle's networked location. Using the technical methods of game theory as a means, and the mechanism of vehicle location privacy protection in typical applications and the game model of vehicle network attack and defense are studied. This paper introduces some common privacy protection methods, such as pseudonym transformation method, elliptic fuzzy method and so on. Establish the model and evaluation method of vehicle location privacy attack and defense strategy based on measurement. By analyzing the application scenarios, service quality and other factors and establishing the theoretical model of car network location privacy protection based on game theory, a privacy protection method based on game theory is proposed. The innovation of this paper is that the game theory is applied to the privacy protection of the Internet of vehicles. Thus, we can get the best guessing strategy of the enemy and the best privacy protection mechanism between location quality of service and privacy protection trade-off.