基于加密分割的位置隐私保护方法

基于位置的服务(location-based services,LBS)由于存在隐私泄露问题已越来越成为隐私保护领域中的热点.针对用户协作的隐私保护方法无法为参与用户提供自定义匿名度功能,且对协作用户的隐私保护效力不足,提出了一种基于加密分割的位置隐私保护方法.该方法采用分布式结构,通过用户对查询信息进行分割、加密、交换混合,满足了用户自定义匿名度需求,提高了用户间的隐私安全性,同时,采用假名方法抵御长期统计的攻击方式.通过理论分析和实验结果表明所提出的方法具有较好的隐私保护效果.

Location privacy protection method based on encryption and segmentation

LBS has increasingly became a hot spot in the field of privacy protection due to the problem of privacy leakage. Aiming at the privacy protection method of user collaboration that cannot provide customized anonymity functions for participating users, and the privacy protection effect of collaboration users is insufficient, this paper proposed a location privacy protection method based on encryption segmentation. The method adopted a distributed structure, and by dividing, encrypting and exchanging the query information, it met the user''s requirement of self-defined anonymity and improved the privacy security among users. At the same time, it used the pseudonymous method to resist the attack of long-term statistics. The theoretical analysis and experimental results show that the proposed scheme has a better privacy protection effect.