移动环境下LBS位置隐私保护
doi: 10.3724/SP.J.1146.2010.01050
Protecting Location Privacy in Location-based Services in Mobile Environments
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摘要: 用k匿名模型对基于位置信息的服务(LBS)中的位置隐私进行保护是近年来研究的热点。在移动用户不断发出查询的场景下,该文提出了移动模式攻击(MPA),使得传统的针对孤立查询的隐私保护算法均失效。基于熵理论,提出了熵匿名度度量,并以此为基础提出了移动环境下的模糊化算法Mclique,实验证明其有效地抵御了MPA攻击。通过简化Mclique算法中熵的计算,提出了快速模糊化算法Fclique,实验证明Fclique不仅仍具有较强的MPA抵御能力,且极大提高了时间效率。Abstract: The k-anonymity model is employed to protect the location privacy in Location-Based Services (LBS) in recent years. A Moving-Pattern Attack (MPA) is presented, in a scenario that the moving user keeps delivering queries. It is shown that traditional algorithms fail in this attack. In order to protect against MPA, a novel anonymity measurement based on entropy is proposed, which leads to a cloaking algorithm under mobile environments, i.e. Mclique. Experiments show that Mclique protects effectively user privacy against MPA. By simplifying the computing of entropy in Mclique, a fast cloaking algorithm, Fclique, is proposed. Experiments show that Fclique is capable of surviving MPA, and reduces greatly the time complexity as well.
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Sweeney L. K-anonymity: a model for protecting privacy[J].International Journal on Uncertainty, Fuzziness and Knowledge-based Systems.2002, 10(5):557-570[10]Xu J, Tang X, Hu H, and Du J. Privacy-conscious location- based queries in mobile environments[J].IEEE Transactions on Parallel and Distributed Systems.2010, 21(3):313-326[12]Brinkhoff T. A framework for generating network-based moving objects[J].Geoinformatica.2002, 6(2):153-180 -
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