Research On Privacy Protection Method Of Vehicle Network Location Based On Fuzzy

Vehicles are an essential means of transportation for people in daily life.In recent years,the number of vehicles has been increasing.The Internet of Vehicles(IOV)system has been created.The Internet of Vehicles involves three major industries: automotive,communications and the Internet.It is one of the important supporting technologies for intelligent transportation and autonomous driving.It can solve problems such as traffic jams and vehicle control difficulties,and brings a lot of convenience to people's lives.However,because of the particularity of the Vehicle networking environment,traffic congestion,traffic accidents and other threats may occur.The openness of wireless communication networks in the Internet of Vehicles exposes them to serious information leakage problems.In order to solve these privacy risks,experts at home and abroad have conducted in-depth research on the privacy and security issues of the Internet of Vehicles.At present,Commonly used are identity and location privacy protection programs.The privacy protection often restricts the quality of LBS service.When the quality of the service obtained by the node is poor,the value and significance of the service system in the Internet of Vehicles will be lost.How to achieve a double win in privacy protection and service quality is the research focus in the field of car networking.Only by providing effective privacy protection strategies and service quality for vehicle nodes and users,and ensuring the safety and effectiveness of the Internet of Vehicles,can the car network play a positive role,which will help promote the development of intelligent transportation and truly realize the meaning of the Internet of Vehicles.Based on the research of location privacy protection and improving service quality,this paper makes a detailed study on the K anonymous location privacy protection scheme in the Internet of Vehicles.An K-anonymous privacy protection scheme based on vehicle node density and a K-anonymous privacy protection scheme based on virtual vehicle nodes are proposed.The scheme achieves privacy protection and improves the quality of service.The specific research content of this paper is as follows:(1)Secondly,based on the theme of fuzzy privacy protection in vehicle self-organizing network,this paper introduces K Anonymous related background knowledge.An improved density-based K-anonymous privacy protection scheme is proposed,and the algorithm analysis,algorithm description,data structure design and specific implementation flow of the scheme are explained in detail.(2)The problem of sparse vehicle nodes in road conditions is likely to lead to anonymity success rate.A K-anonymous location privacy protection scheme based on virtual nodes is proposed.The scheme combines virtual location technology with an optimal anonymous domain algorithm,and selects the virtual node closest to the real situation to generate the optimal K anonymous domain.This scheme combines virtual location technology and circle partition technology to select virtual nodes which are closest to the real road condition.Then the optimal K-anonymous domain is generated by using Optimal anonymous domain algorithm.So as to improve the success rate of anonymity,but also improve the quality of service.(3)We can complete the construction of the simulation platform and carry out simulation experiments,through the software such as mobile simulator SUMO and network simulator NS-3.The simulation data is compared and analyzed from the aspects of anonymity success rate and anonymous area,which proves that the accuracy and stability of VNDCA algorithm proposed is better than TKAQ algorithm.