GLPS:一个基于Geohash的位置隐私保护计划
Bin Liu1,2, Chunyong Zhang1, Liangwei Yao1
1National Engineering Research Center for Disaster Backup and Recovery, Information Security Center, School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Entropy (Basel, Switzerland)
|December 23, 2023
概括
本研究介绍了基于地理位置的服务的基于Geohash的位置隐私保护计划GLPS. 通过隐藏服务器的确切位置,GLPS增强了用户隐私,提高了对各种隐私攻击的安全性.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 移动计算 移动计算
背景情况:
- 基于位置的服务 (LBS) 是移动应用程序的组成部分,产生了巨大的收入,但构成隐私风险.
- 现有的LBS隐私计划通常依赖于集中的,可信的匿名服务器,这在现实世界中是一个脆弱的假设.
- 在LBS中发布精确的位置和查询数据增加了个人隐私侵犯的风险.
研究的目的:
- 为快照查询提出基于Geohash的新型位置隐私保护计划 (GLPS).
- 解决集中架构的局限性以及在LBS隐私中可靠的匿名服务器的假设.
- 增强LBS的隐私保护能力,防止各种复杂的攻击.
主要方法:
- GLPS使用Geohash编码将精确的用户坐标转换为保护隐私的位置代码.
- 在用户方面,Geohash代码掩盖了发送到匿名服务器的确切位置.
- 在服务器端,Geohash代码和GL-Trees促进了k-匿名查询集生成,掩盖了用户的位置.
主要成果:
- 实验评估表明GLPS提供了强大的隐私保护和良好的性能.
- GLPS有效地减轻了与集中架构和不可信任服务器相关的隐私风险.
- 该计划成功抵御了各种隐私攻击,包括基于背景知识和身份关联的隐私攻击.
结论:
- GLPS提供了LBS中位置隐私的分散方法,消除了对服务器可信度的依赖.
- 基于Geohash的方法增强了用户的隐私,防止各种对抗技术.
- 在移动应用程序不断扩展的环境中,GLPS为保护位置数据提供了一个可行的解决方案.
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