文献类型：期刊文献

英文题名：Multi-vehicle group-aware data protection model based on differential privacy for autonomous sensor networks

作者：Yuan, Jiazheng[1];Wang, Zhuang[2];Xu, Cheng[2];Li, Hongtian[2];Dai, Songyin[2];Liu, Hongzhe[2]

第一作者：Yuan, Jiazheng

通讯作者：Xu, C[1]

机构：[1]Beijing Open Univ, Coll Sci & Technol, Beijing, Peoples R China;[2]Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing, Peoples R China

第一机构：Beijing Open Univ, Coll Sci & Technol, Beijing, Peoples R China

通讯机构：[1]corresponding author), Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing, Peoples R China.|[11417103]北京联合大学北京市信息服务工程重点实验室;[11417]北京联合大学;

年份：0

外文期刊名：IET CIRCUITS DEVICES & SYSTEMS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000905564700001)】；

基金：The National Natural Science Foundation of China, Grant/Award Numbers: 61871028, 62102033, 61906017, 62171042; Collaborative Innovation Center of Chaoyang, Grant/Award Number: CYXC2203; R&D Program of Beijing Municipal Education Commission, Grant/Award Number: KZ202211417048; Beijing Advanced Talents Great Wall Scholar Training Program, Grant/Award Number: CIT&TCD20190313; Beijing Municipal Commission of Education Project, Grant/Award Numbers: KM202111417001, KM201911417001

语种：英文

外文关键词：Autonomous Sensor Networks; Data Information Security; Differential Privacy; Interface Circuits; Multi-vehicle Group Perception

摘要：Intelligent connected vehicles interact and share information through people, vehicles, roads and clouds. Aiming at the problem of data privacy leakage in the process of sensing data sharing with intelligent connected vehicles, a privacy-preserving group-aware data privacy protection model was proposed. Firstly, to protect the privacy of data receiving interface circuit vehicles, an aggregation scheme based on differential privacy is designed. Secondly, to ensure the trustworthiness of the data receiving interface circuit vehicles, a reputation model of the data receiving interface circuit vehicles was constructed. Finally, a data sharing model was constructed based on the tolerance constraint of the sending vehicle to the result deviation and the privacy leakage compensation of the vehicle in the data receiving interface circuit. The revenue optimisation algorithm (DPOD) was used to solve the model, and the interaction reliability between the participating vehicle and the platform was optimised. The simulation results show that the testing results of the differential privacy model on the intelligent network platform are obviously improved. Therefore, the group-aware data privacy protection model can effectively serve the data privacy protection of autonomous sensor network data transmission, and has the prospect of popularisation in intelligent transportation.