基于位置服务中的连续查询隐私保护研究

作者:潘晓;郝兴;孟小峰 刊名:计算机研究与发展 上传者:肖玮

【摘要】近年来,伴随着移动计算技术和无限设备的蓬勃发展,位置服务中的隐私保护研究受到了学术界的广泛关注,提出了很多匿名算法以保护移动用户的隐私信息.但是现有方法均针对snapshot查询,不能适用于连续查询.如果将现有的静态匿名算法直接应用于连续查询,将会产生隐私泄露、匿名服务器工作代价大等问题.针对这些问题,提出了δp-隐私模型和δq-质量模型来均衡隐私保护与服务质量的矛盾,并基于此提出了一种贪心匿名算法.该算法不仅适用于snapshot查询,也适用于连续查询.实验结果证明了算法的有效性.

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计算机研究与发展 ISSN 10001239ΠCN 111777ΠTP Journal of Computer Research and Development 47(1) : 1212129 , 2010  收稿日期:2009- 06- 26 ;修回日期 :2009- 09- 29  基金项目:国家自然科学基金项目(60833005 ,60573091) ;国家“八六三”高技术研究发展计划基金项目(2007AA01Z155 ,2009AA011904) ;高等学校博士学科点专项科研基金项目(200800020002) 基于位置服务中的连续查询隐私保护研究 潘 晓 郝 兴 孟小峰 (中国人民大学信息学院  北京   100872) (smallpx @ruc. edu. cn) Privacy Preserving Towards Continuous Query in Location2Based Services Pan Xiao , Hao Xing , and Meng Xiaofeng ( School of Inf ormation , Renmin University of China , Beijing 100872) Abstract  With advances in wireless communication and mobile positioning technologies , locationbased mobile services have been gaining increasingly popularity in recent years. Privacy preservation , including location privacy and query privacy , has recently received considerable attention for location2based mobile services. A lot of location cloaking approaches have been proposed for protecting the location privacy of mobile users. However , they mostly focus on anonymizing snapshot queries based on proximity of locations at query issued time. Therefore , most of them are illsuited for continuous queries. In view of the privacy disclosure (including location and query privacy) and poor quality of service under continuous query anonymization , a δ p2privacy model and a δ q2distortion model areproposed to balance the tradeoff between privacy preserving and quality of service. Meanwhile a temporal distortion model is proposed to measure the location informatio

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