摘要:针对移动点对点（P2P）结构下位置隐私保护匿名区形成存在着通信开销大、匿名效率低以及成功率低等问题，提出了一种移动P2P结构下用户分布感知方案，用户在邻域内共享邻域加权密度参数，获取邻域用户实时分布信息，根据用户分布特征为用户推荐隐私参数及候选用户查找半径，帮助用户快速形成匿名区.仿真结果表明，该算法通信开销小，在满足移动P2P网络移动设备节能需求的同时，匿名区生成时间平均在500ms以下，平均成功率达到92%以上.



Abstract:The mobile peer-to-peer environment is easier to implement in location privacy preserving research. The mobile users cooperate through P2P multi-hop routing to blur their accurate locations into a spatial cloaking region, but most existing spatial cloaking algorithm cannot work well because of the high communication overhead, time consumption and the lower success rate. This paper proposes an algorithm that can recommend user's privacy requirements by collecting users' weighed density information in their neighborhood, and therefore help mobile users to find enough collaborative users quickly. The approach shows great anonymization success rate by 92% through extensive simulation experiments for a range of P2P environment scenarios. It achieves lower communication cost and less than 500ms of searching time at the same time.



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