计算机应用研究2024，Vol.41Issue(4)：1208-1213,6.DOI:10.19734/j.issn.1001-3695.2023.07.0382
边缘辅助群智感知位置隐私保护多任务分配机制
Edge-assisted crowdsensing location privacy protection multi-task allocation mechanism
摘要
Abstract
To solve the problem of privacy leakage and multi-task allocation in crowdsensing,this paper proposed an edge as-sisted crowdsensing location privacy protection(EALP)multi-task allocation mechanism.Firstly,considering the geography of tasks,this paper used improved fuzzy clustering(FCM)algorithm to cluster tasks locations,improved the clustering index,and enhanced the rationality of multi-task allocation.Secondly,to prevent collusion between the cloud and perceived users,it proposed a location privacy protection protocol in the task allocation phase.It deployed homomorphic encryption among the perceived users,cloud and edge nodes.The cloud could safely calculate the mobile distance of the perceived users without knowing their locations and the location of the task cluster center.Finally,it proposed a multi-task allocation optimization scheme based on ant colony algorithm,it balanced the interests of both platform and perceptive users by optimizing the path of execute tasks.Experiment results show that compared with similar methods,the proposed mechanism improves task completion rate while protecting location privacy,and reduces system perception costs and user mobility costs.关键词
群智感知/任务分配/位置隐私保护/同态加密/模糊聚类Key words
crowdsensing/task assignment/location privacy protection/homomorphic encryption/fuzzy clustering分类
信息技术与安全科学引用本文复制引用
敖山,常现,王辉,申自浩,刘琨,刘沛骞..边缘辅助群智感知位置隐私保护多任务分配机制[J].计算机应用研究,2024,41(4):1208-1213,6.基金项目
国家自然科学基金资助项目(61300216) （61300216）
河南省高等学校重点科研资助项目(23A520033) （23A520033）
河南理工大学博士基金资助项目(B2020-32,B2022-16) （B2020-32,B2022-16）
