网络与信息安全学报2025，Vol.11Issue(3)：1-18,18.DOI:10.11959/j.issn.2096-109x.2025027
轨迹数据的差分隐私保护方法综述
Survey of differentially private methods for trajectory data
摘要
Abstract
With the rapid development of sensor and positioning technologies,vast amounts of trajectory data were generated,stored,and shared by users'smart mobile devices.These data contained valuable personal spatiotemporal mobility features,which could be leveraged by businesses and government agencies to provide efficient and conve-nient services to users and society.However,individual trajectory data were private and sensitive,and improper data usage could not only expose users'home and work addresses but also reveal their health status and economic condi-tions.These privacy concerns led to reluctance in sharing trajectory data,hindering the development of location-based services and applications.To address this issue,a promising solution—differential privacy(DP)technology—was proposed.DP could offer rigorous,provable privacy guarantees for users'sensitive data while preserving valu-able information.The research progress of DP in protecting trajectory data privacy was reviewed.The DP methods for trajectory data were analyzed from perspectives such as privacy models,application scenarios,and perturbation mechanisms.Finally,an outlook on the future development of DP for trajectory data privacy protection was provided.关键词
数据隐私/位置隐私/差分隐私/轨迹数据Key words
data privacy/location privacy/differential privacy/trajectory data分类
计算机与自动化引用本文复制引用
孙新越,张伟哲,何慧,杨任宇..轨迹数据的差分隐私保护方法综述[J].网络与信息安全学报,2025,11(3):1-18,18.基金项目
国家自然科学基金(62402137) （62402137）
国家资助博士后研究人员计划(GZC20242205) （GZC20242205）
国家自然科学基金联合基金(U22A2036) （U22A2036）
深圳市高校稳定支持计划(GXWD20220817124251002) （GXWD20220817124251002）
深圳市科技计划项目(GXWD20231130110352002) The National Natural Science Foundation of China(62402137),The Postdoctoral Fellowship Program of CPSF(GZC20242205),The Joint Funds of the NSFC(U22A2036),The Shenzhen Colleges and Universities Stable Support Pro-gram(GXWD20220817124251002),The Shenzhen Stable Supporting Program(GXWD20220817124251002) （GXWD20231130110352002）
