一种防边权和语义攻击的位置隐私保护方法

Location privacy protection method against edge attacks and semantic attacks

边权攻击和位置语义攻击根据移动用户活动的周边环境推断用户的位置,泄露用户的位置隐私。针对该问题,提出一种防边权攻击的位置语义安全隐私保护方法。该方法将道路的敏感度和关联度结合,构建道路隐私度,描述道路在语义位置的敏感性,及道路与匿名集中其他道路上用户数量分布的均衡性;基于中心服务器结构,根据用户的位置隐私要求,采用宽度优先搜索方式,筛选道路隐私度最小的道路加入匿名集,以生成具备语义安全和防边权推断攻击的匿名集。仿真测试结果表明,该方法筛选的匿名集的匿名成功率达到87%,抗边权攻击和语义攻击的能力要高于对比算法。

The edge attack and location semantic attack can easily infer the user’s location according to the surrounding environment of the mobile user’s activity,thus the user’s location privacy is revealed.Aiming at this problem,this paper proposed a location semantic security privacy protection method against edge attack.The method defined a concept named as road privacy which combined road sensitivity and road relevance.The road privacy revealed the sensitivity of the road in semantic location,and the equilibrium of the users number among the user road and other roads in the anonymity set.Based on the central server structure,according to the user’s location privacy requirements,the proposed method selected the road with the lowest road privacy and added the road to the anonymity set using a breadth-first search method.Finally it built a anonymity set with semantic security and anti-edge attacks.The tested results show that the anonymity set created by the proposed method has higher anonymity success rate to 87%,and the ability to resist edge attack and semantic attack is higher than that of the compared algorithms.