Zihao Shen , Fei Ren , Hui Wang , Peiqian Liu , Kun Liu , Jun Zhang
{"title":"将区块链与人群感应相结合,在车联网中保护位置隐私","authors":"Zihao Shen , Fei Ren , Hui Wang , Peiqian Liu , Kun Liu , Jun Zhang","doi":"10.1016/j.vehcom.2023.100724","DOIUrl":null,"url":null,"abstract":"<div><p>With the rapid development of Internet of Vehicles (IoV), crowd-sensing based on IoV is widely used in various fields. Traditional crowd-sensing uses a third-party service platform for information interaction, which has problems of worker location privacy leakage<span> and imbalanced participation task fairness. To solve these problems, this paper proposes a combination of blockchain and crowd-sensing for location privacy protection (BCS-LPP) method in IoV. First, blockchain is introduced into BCS-LPP to prevent the leakage of user information by third-party service platforms. Second, providing workers with personalized location privacy level options, combined with Geohash encoding and order-preserving encryption to safeguard the confidentiality of workers' location privacy information. Finally, the fairness of worker participation in tasks and the quality of sensing data are guaranteed by verifying the sensing locations submitted by workers. Using real datasets, BCS-LPP is compared with existing schemes through experimental simulation. BCS-LPP can better ensure the quality of sensing data, protect workers' location privacy information, and enhance the fairness of user participation in tasks.</span></p></div>","PeriodicalId":54346,"journal":{"name":"Vehicular Communications","volume":null,"pages":null},"PeriodicalIF":5.8000,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Combining blockchain and crowd-sensing for location privacy protection in Internet of vehicles\",\"authors\":\"Zihao Shen , Fei Ren , Hui Wang , Peiqian Liu , Kun Liu , Jun Zhang\",\"doi\":\"10.1016/j.vehcom.2023.100724\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>With the rapid development of Internet of Vehicles (IoV), crowd-sensing based on IoV is widely used in various fields. Traditional crowd-sensing uses a third-party service platform for information interaction, which has problems of worker location privacy leakage<span> and imbalanced participation task fairness. To solve these problems, this paper proposes a combination of blockchain and crowd-sensing for location privacy protection (BCS-LPP) method in IoV. First, blockchain is introduced into BCS-LPP to prevent the leakage of user information by third-party service platforms. Second, providing workers with personalized location privacy level options, combined with Geohash encoding and order-preserving encryption to safeguard the confidentiality of workers' location privacy information. Finally, the fairness of worker participation in tasks and the quality of sensing data are guaranteed by verifying the sensing locations submitted by workers. Using real datasets, BCS-LPP is compared with existing schemes through experimental simulation. BCS-LPP can better ensure the quality of sensing data, protect workers' location privacy information, and enhance the fairness of user participation in tasks.</span></p></div>\",\"PeriodicalId\":54346,\"journal\":{\"name\":\"Vehicular Communications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.8000,\"publicationDate\":\"2024-01-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vehicular Communications\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214209623001547\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vehicular Communications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214209623001547","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
Combining blockchain and crowd-sensing for location privacy protection in Internet of vehicles
With the rapid development of Internet of Vehicles (IoV), crowd-sensing based on IoV is widely used in various fields. Traditional crowd-sensing uses a third-party service platform for information interaction, which has problems of worker location privacy leakage and imbalanced participation task fairness. To solve these problems, this paper proposes a combination of blockchain and crowd-sensing for location privacy protection (BCS-LPP) method in IoV. First, blockchain is introduced into BCS-LPP to prevent the leakage of user information by third-party service platforms. Second, providing workers with personalized location privacy level options, combined with Geohash encoding and order-preserving encryption to safeguard the confidentiality of workers' location privacy information. Finally, the fairness of worker participation in tasks and the quality of sensing data are guaranteed by verifying the sensing locations submitted by workers. Using real datasets, BCS-LPP is compared with existing schemes through experimental simulation. BCS-LPP can better ensure the quality of sensing data, protect workers' location privacy information, and enhance the fairness of user participation in tasks.
期刊介绍:
Vehicular communications is a growing area of communications between vehicles and including roadside communication infrastructure. Advances in wireless communications are making possible sharing of information through real time communications between vehicles and infrastructure. This has led to applications to increase safety of vehicles and communication between passengers and the Internet. Standardization efforts on vehicular communication are also underway to make vehicular transportation safer, greener and easier.
The aim of the journal is to publish high quality peer–reviewed papers in the area of vehicular communications. The scope encompasses all types of communications involving vehicles, including vehicle–to–vehicle and vehicle–to–infrastructure. The scope includes (but not limited to) the following topics related to vehicular communications:
Vehicle to vehicle and vehicle to infrastructure communications
Channel modelling, modulating and coding
Congestion Control and scalability issues
Protocol design, testing and verification
Routing in vehicular networks
Security issues and countermeasures
Deployment and field testing
Reducing energy consumption and enhancing safety of vehicles
Wireless in–car networks
Data collection and dissemination methods
Mobility and handover issues
Safety and driver assistance applications
UAV
Underwater communications
Autonomous cooperative driving
Social networks
Internet of vehicles
Standardization of protocols.