重庆邮电大学学报（自然科学版）2025，Vol.37Issue(2)：273-281,9.DOI:10.3979/j.issn.1673-825X.202403140051
基于熵的差分位置隐私保护方案
Entropy-based differential location privacy protection scheme
摘要
Abstract
To address the limitations of existing fake-location and differential privacy-based location privacy protection schemes—such as small concealment areas,high time overhead,and insufficient privacy protection—this paper proposes an entropy-based differential location privacy protection scheme.The scheme integrates k-anonymity and differential privacy techniques to enhance location privacy protection.During the anonymization process,both the entropy of the anonymity set and the distance between locations are considered to generate an anonymity set that satisfies query probability and location distance constraints.Additionally,Laplace noise is applied to the user's real location using differential privacy.To mitigate the issue of anonymity set construction failure caused by noise addition,a noise location shift algorithm is proposed,consid-ering both location entropy and spatial distance.Experimental results demonstrate that the proposed scheme provides a high level of privacy protection while significantly reducing time overhead.关键词
位置熵/差分隐私/假位置/位置隐私保护/基于位置的服务Key words
location entropy/differential privacy/dummy location/location privacy protection/location-based service分类
信息技术与安全科学引用本文复制引用
邓阳,左祥建,刘媛妮,周由胜..基于熵的差分位置隐私保护方案[J].重庆邮电大学学报（自然科学版）,2025,37(2):273-281,9.基金项目
国家重点研发计划(2023YFF0905300) National Key Research and Development Program of China(2023YFF0905300) （2023YFF0905300）
