• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学

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P2PSpaceTwist:一种主动式用户协作的位置隐私保护方法

罗健,廖俊国,李雄   

  1. (湖南科技大学计算机科学与工程学院,湖南 湘潭 411201)
  • 收稿日期:2015-04-24 修回日期:2015-08-20 出版日期:2016-08-25 发布日期:2016-08-25
  • 基金资助:

    国家自然科学基金(61300220);湖南省科技厅计划项目(2012GK3104);湖南科技大学研究生创新基金(S140025)

P2PSpaceTwist: a proactive collaboration  location privacy-preserving method           

 LUO Jian,LIAO Jun-guo,LI Xiong   

  1. (School of Computer Science and Engineering,Hunan University of Science and Technology,Xiangtan 411201,China)
  • Received:2015-04-24 Revised:2015-08-20 Online:2016-08-25 Published:2016-08-25

摘要:

随着定位技术和无线移动设备的飞速发展,移动用户能够随时随地获取位置信息,也可能泄露位置信息,甚至导致个人隐私的泄露。提出了一种主动式用户协作的位置隐私保护方法—P2PSpaceTwist,该方法采用了一种带新鲜性的主动式协商机制,通过该机制用户主动与邻居协商,收集邻居信息并广播自身信息;当满足用户的匿名需求后,使用匿名区域内的随机位置代替用户的真实位置并发送给随机选定的代理,通过代理向位置服务器提供商发送增量式的近邻查询,从而获得精确的结果集。实验结果表明,P2PSpaceTwist能够较快地实现匿名查询并获得较精确的结果集,与其他位置隐私保护方法相比,P2PSpaceTwist的通信开销较低。

关键词: 位置隐私, 基于位置的服务, 增量近邻查询, 用户协作

Abstract:

With the rapid development of location technology and wireless mobile devices in recent years, users can get their location information at any time. However, location information can be disclosed, or even lead to disclosure of personal privacy. We introduce a  proactive collaboration location privacy-preserving method, named P2PSpaceTwist, which uses a kind of active consultation mechanism with freshness. Users employ this mechanism to obtain the locations of their neighbors and broadcast their own location as well. When the user’s anonymity demand is met, the user randomly selects an agent from the anonymous group and regards the random position in the anonymous region formed by the anonymous group as his real location. Then the agent queries results incrementally from location-based service and broadcasts the results to his neighbours. Experimental results show that the P2PSpaceTwist can quickly fulfill anonymous queries and achieve accurate results. Compared with other methods, the P2PSpaceTwist’s communication overhead is lower.

Key words: location privacy, location-based-service, incremental nearest neighbor query, collaboration