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Commutative encryption: an answer to privacy protected query processing of multi data sources

机译:换向加密:隐私保护的答案受保护的多数据源的查询处理

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摘要

This paper proposes a privacy-preserving collaborative query service by a service provider for customer's information on demand by secured processing of multi-source data. The customer and the data sources are unknown to each other. The service provider acts as a bridge between them for servicing the query while preserving privacy. The privacy of a query is determined by the constants associated with its predicates. Protecting the privacy of queries is an extremely important consideration for individuals/agencies that like to receive query results but do not want to reveal the query text. The data owners, on the other hand, are apprehensive about the privacy of their data and therefore hesitate to spare with their data. Moreover, the customer needs not to know who the contributors to the data are and the data owners should be anonymous to the customer as well. We have provided a solution to this problem. Secure data exchange by commutative encryption is the basic cryptographic approach considered in this work.
机译:本文提出了由服务提供商提供隐私保留协作查询服务,以满足客户的信息,以通过对多源数据的安全处理的需求进行需求。客户和数据源彼此未知。服务提供商用作它们之间的桥梁,用于在保留隐私时为查询提供服务。查询的隐私由与其谓词相关的常量确定。保护查询的隐私是对喜欢接收查询结果的个人/代理商的极其重要的考虑因素,但不想揭示查询文本。另一方面,数据所有者对其数据的隐私令人担忧,因此犹豫不决。此外,客户不需要知道数据的贡献者是谁,并且数据所有者也应该对客户匿名。我们为此问题提供了解决方案。通过换向加密安全数据交换是本工作中考虑的基本加密方法。

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