详细信息

Privacy-Preserving Location-Based Service in Internet of Vehicles via Oblivious Transfer in Zero-Trust Framework  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Privacy-Preserving Location-Based Service in Internet of Vehicles via Oblivious Transfer in Zero-Trust Framework

作者:Mi, Bo[1];Deng, Zhaoyang[1];Huang, Darong[1,2];Li, Yang[1];Li, Zhongmei[3];Sun, Changyin[2]

机构:[1]Chongqing Jiaotong Univ, Sch Informat Sci & Engn, Chongqing 400074, Peoples R China;[2]Anhui Univ, Engn Res Ctr Autonomous Unmanned Syst Technol, Sch Artificial Intelligence, Minist Educ,Anhui Prov Engn Res Ctr Unmanned Syst, Hefei 230601, Peoples R China;[3]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份:2026

卷号:75

期号:7

起止页码:14877

外文期刊名:IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

收录:;EI(收录号:20260820124997);WOS:【SCI-EXPANDED(收录号:WOS:001828026100025)】;

基金:This work was supported in part by the National Natural Science Foundation of China under Grant 62273065, Grant 62495083, and Grant 62236002, in part by the Science and Technology Research Program of the Chongqing Municipal Education Commission under Grant KJZD-K202300701, in part by the Natural Science Foundation of Chongqing under Grant CSTB2023NSCQ-MSX0840, and in part by the Open Research Project of the State Key Laboratory of Industrial Control Technology of China under Grant ICT2024B52.

语种:英文

外文关键词:Servers; Protocols; Security; Data privacy; Cryptography; Homomorphic encryption; Protection; Zero Trust; Internet of Vehicles; Artificial intelligence; location-based service; oblivious transfer; zero-trust framework

摘要:The dynamism and heterogeneity inherent to the internet of vehicles necessitate its operation within a zero-trust environment. Serving as a vital element in location-based services (LBSs), geographic information is imperative to ensure the proper functioning of navigation, traffic updates, courier service, etc. Location data can potentially reveal extensive personal information of a user, such as social relationships, habits, and health conditions. To alleviate the conflicts amongst privacy, data property, and real-time performance for an LBS in the Internet of Vehicles, a secure point-of-interest information retrieval scheme is presented in this paper. We developed a lightweight fully homomorphic encryption algorithm based on the hardness of the discrete logarithm conjugacy search problem (DLCSP) and implemented it as an oblivious transfer (OT) protocol that not only conceals the query but also safeguards the data assets of the server. The effectiveness of our proposed method was validated experimentally. The results showed that our scheme outperformed state-of-the-art methods in terms of both computation and communication overhead, particularly on the server side. In addition, a simulation-based security validation demonstrated that our scheme is more robust when defined as an OT.

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