邻近敏感区域随机变换的隐私保护方法

针对现有基于位置服务的隐私保护方法缺乏对邻近匿名用户的保护，因而攻击者可利用尚未被保护的匿名用户通过分析剔除的方式识别用户的真实位置，进而造成用户位置隐私泄露的问题，基于邻近敏感区域随机选择计算提出了一种邻近位置保护方法。该方法基于随机变换，实现对用户当前位置及其邻近位置的隐私保护，以此防止攻击者通过剔除的方式识别和获得用户隐私。通过模拟实验比较，可证实该方法具有较好的隐私保护能力和算法适用性。

Privacy protection method for random transformation of adjacent sensitive areas

In view of the lack of protection for adjacent anonymous users in the existing privacy protection methods based on location service, an attacker can identify the real location of users by analyzing and removing the anonymous users who have not been protected, thus causing the leakage of privacy of users'' location. There for, based on the random selection calculation of nearby sensitive area, this paper proposed a method of adjacent position protection. Based on random transformation, this method realized the privacy protection of the user''s current location and its adjacent location, so as to prevent the attacker from identifying and obtaining the user''s privacy by means of elimination. The simulation results show that this method has better privacy protection ability and algorithm applicability.