重庆邮电大学学报（自然科学版）2024，Vol.36Issue(4)：827-835,9.DOI:10.3979/j.issn.1673-825X.202307050221
移动群智感知中基于网格混淆的位置隐私保护
Location privacy protection based on grid obfuscation in mobile crowd sensing
摘要
Abstract
Aiming at the problem of privacy leakage faced by existing mobile crowd sensing(MCS),a hybrid blockchain architecture is introduced to build the system,which realizes the decentralization of MCS and protects workers'privacy re-cords through private blockchain.Certificateless signcryption is used to protect the confidentiality and integrity of user data transmission and ensure the security of user information.In order to reduce the risk of location privacy exposure,a location privacy protection scheme based on grid obfuscation(LPPSGO)is proposed.The scheme divides multi-precision hexagonal grids through H3 index system to realize the spatial concealment of workers'positions.Workers can disturb their positions according to personalized privacy requirements without worrying about the exposure of real positions.Simulation results show that LPPSGO can effectively improve the task allocation success rate of MCS system and reduce the time overhead.Com-pared with other location protection schemes,it is more secure and has better coverage performance.关键词
移动群智感知/网格混淆/混合区块链/位置隐私保护/差分隐私Key words
mobile crowd sensing/grid confusion/hybrid blockchain/location privacy protection/differential privacy分类
信息技术与安全科学引用本文复制引用
申艳梅,申红锋,申自浩,王辉,刘沛骞..移动群智感知中基于网格混淆的位置隐私保护[J].重庆邮电大学学报（自然科学版）,2024,36(4):827-835,9.基金项目
国家自然科学基金项目(61300216) （61300216）
河南省高等学校重点科研项目(23A520033) （23A520033）
河南理工大学博士基金(B2022-16,B2020-32)The National Natural Science Foundation of China(61300216) （B2022-16,B2020-32）
The Key Scientific Research Projects of Colleges and Universities in Henan Province(23A520033) （23A520033）
The Doctoral Scientific Fund of Henan Polytechnic University(B2022-16,B2020-32) （B2022-16,B2020-32）
