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Query m-Invariance: Preventing Query Disclosures in Continuous Location-Based Services

机译:查询m-不变性:防止基于位置的连续服务中的查询泄露

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Location obfuscation using cloaking regions preserves location anonymity by hiding the true user among a set of other equally likely users. Furthermore, a cloaking region should also guarantee that the type of queries issued by users within the region are mutually diverse enough. The first requirement is fulfilled by satisfying location k-anonymity while the second one is ensured by satisfying query l-diversity. However, these two models are not sufficient to prevent the association of queries to users when the service depends on continuous location updates. Successive cloaking regions for a user may be k-anonymous and query l-diverse but still be prone to correlation attacks. In this paper, we provide a formal analysis of the privacy risks involved in a continuous location-based service, and show how continuous queries can invalidate the privacy guarantees provided by k-anonymity and l-diversity. Drawing upon the principle of m-invariance in database privacy, we show how query m-invariance can provide location and query privacy in continuous services.
机译:使用隐身区域进行位置混淆处理,是通过在一组其他同样可能的用户中隐藏真实用户来保留位置匿名性。此外,隐身区域还应确保该区域内用户发出的查询类型相互足够多样化。通过满足位置k-匿名性满足第一个要求,而通过满足查询l-多样性确保第二个要求。但是,当服务依赖于连续的位置更新时,这两个模型不足以防止查询与用户的关联。用户的连续隐身区域可能是k匿名的,并且查询l多样,但仍然倾向于相关攻击。在本文中,我们对连续的基于位置的服务所涉及的隐私风险进行了正式分析,并展示了连续的查询如何使由k-匿名性和l-多样性提供的隐私保证无效。利用数据库隐私中m不变性的原理,我们展示了查询m不变性如何在连续服务中提供位置和查询隐私。

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