Research On Privacy Security Service Model And Its Protection Method Based On LBS In The Internet Of Vehicles

The rapid socio-economic development has increased the number of vehicles on the road,and the traffic conditions have become more complex.People have increasingly higher requirements for the intelligent travel of vehicles.While intelligent travel ensures the protection of privacy when pursuing quality location services.The importance of attention has been increasingly highlighted.Aiming at the privacy security protection problem of high-speed movement of nodes in Internet of Vehicles,in this paper,based on the existing research results,a private security service model(abbr.PSSM)is built based on the P2 P structure.The privacy protection algorithm(abbr.PPA)is established through the K-anonymity and pseudonym technologies were combined.And a forgery nodes detection algorithm(abbr.FNDA)is established by using threshold idea and Markov chain.The specific research work is as follows:(1)By analyzing the characteristics of the car networking system and the peer-to-peer structure,a privacy security service model PSSM based on the internet of vehicles and location based services is formed.This model expands the VANET network using double P2 P structure between the vehicle terminal,road side units(abbr.RSU)and the cloud servers.And the RSU is both the first-tier P2 P server and the second-tier P2 P terminal node.The requesting service node actively obtains the service response.The theoretical analysis shows that the model can not only reduce the burden of a single server's high computational load,but also reduce the risk of information leakage caused by server being hacked,and improve the accuracy and stability of information transmission.(2)Aiming at the problem of privacy security based on location services in the internet of vehicles,an improved anonymous method was researched,and K-anonymity and pseudonym technology were combined to form the privacy protection algorithm PPA.Among them,the purpose of the pseudonym generation algorithm is to realize the hiding of multiple nodes in the car network system,and the formation of the K-anonymous region generation algorithm is to use the anonymous space to spatially conceal the requesting user's location.Experiments show that this privacy protection algorithm can obtain a good balance between the privacy protection effect and the regional selection result,which can not only enhances the security strength but also achieves high-quality service.(3)In order to reasonably evaluate the service model and privacy protection algorithm is feasible and effective,a forgery nodes detection algorithm FNDA in the anonymous area of the internet of vehicles is formed by using the(t,n)threshold idea and the Markov chain theory,use for carry out multiple authentications and inspections for each node in the internet of vehicles.The Sybil attack is used to verify the algorithm.The results show that this method can effectively ensure the identity security of each node that enters the internet of vehicles request service and further evade the attack of the illegal node to the system.The research results are of great significance in effectively protecting user identity information,location information and location service content,promoting the application and research of Internet of vehicles and its security technology,improving the service capability of location service providers and improving people's quality of life.