Research On Vehicle Location Privacy Protection Based On Blockchain And K-anonymity Technology

Location-based services(LBS)can provide personalized location services to users,but there are also problems such as location information leakage and slow response.Although there have been studies focusing on the security and usability issues of LBS,most research only focuses on one aspect,such as privacy protection or communication delay.Therefore,this article aims to comprehensively study the vehicle location privacy security and deployment delay issues under LBS,and provide feasible solutions.First,this article proposes an improved K-anonymity algorithm called the Fast Clustering K-Anonymous Privacy Protection Algorithm(FCKA)to protect the privacy of vehicle location data under LBS.The algorithm is based on the idea of clustering and adjustment,and reduces the time complexity of the K-anonymity algorithm in limited data situations.This article compares the performance of the FCKA algorithm with the classic Mondrian algorithm and the top-down greedy algorithm in the anonymous algorithm.The results show that while maintaining the availability performance parameters of the anonymous data set,the FCKA algorithm significantly reduces the generation time cost of the anonymous set of vehicle location data.Second,in response to the problem of mutual distrust between requesting and cooperating vehicles and frequent malicious behavior among internal vehicles in the K-anonymity algorithm,this article adopts a trust management mechanism and establishes an evaluation-rating combined trust model.The combined trust model introduces reward and punishment incentive factors to evaluate the trustworthiness and reputation of vehicles participating in the construction of anonymous areas.This model not only improves the cooperation enthusiasm of vehicle nodes participating in the construction of anonymous areas but also constrains the malicious behavior among internal vehicles,thereby improving the availability of the vehicle location anonymous set.Then,to address the problem of data inconsistency due to the heterogeneity of LBS network communication equipment and the vulnerability of vehicle trust value data to tampering,this article applies the Raft consensus mechanism of blockchain and distributed ledger technology to ensure the consistency and immutability of stored data.This article establishes a transaction model for vehicle location data in the blockchain and applies the Certificate Authority(CA)to issue and verify certificates for vehicle nodes participating in the construction of anonymous areas,improving the credibility of vehicle nodes and strengthening the privacy and security of vehicle location data.Finally,this article designs simulation experiments based on blockchain and FCKA algorithm and deploys them on the Hyperledger Fabric platform.The results show that compared with existing research,the proposed solution can reduce deployment time cost while ensuring data anonymity,further improve the recognition rate of malicious vehicles,and effectively solve the dilemma of high privacy and low delay faced by anonymous privacy protection technology in LBS applications.