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Distance-Based Data Mining Over Encrypted Data

机译:基于距离的数据挖掘加密数据

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When mining data, organizations rely on service providers to carry out the analyses. However, data owners often are only willing to transfer their data when it is encrypted. So encryption must preserve the mining results. Since many mining algorithms are distance-based, we propose the notion of distance-preserving encryption (DPE). Designing a DPE-scheme is challenging, as it depends both on the data and the distance measure in use. We propose a procedure to engineer DPE-schemes, dubbed KIT-DPE. In a case study, we instantiate KIT-DPE for SQL query logs. We design DPE-schemes for all SQL query-distance measures from the literature. For all these measures, we prove that one can use a combination of existing property-preserving encryption schemes with known security characteristics to guarantee the same mining result.
机译:挖掘数据时,组织依赖服务提供商进行分析。但是,数据所有者通常只愿意在加密时传输数据。因此加密必须保留挖掘结果。由于许多挖掘算法是基于距离的,因此我们提出了远程保护加密(DPE)的概念。设计DPE方案是具有挑战性的,因为它取决于数据和使用距离测量。我们提出了一种工程师DPE-SEQUESE,称为KIT-DPE的程序。在一个案例研究中,我们实时为SQL查询日志的KIT-DPE。我们为来自文献的所有SQL查询距离措施设计DPE-方案。对于所有这些措施,我们证明了一种可以使用具有已知安全性的现有性能保存加密方案的组合来保证相同的挖掘结果。

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