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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Homomorphic encryption approach for exploration of sensitive information retrieval
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Homomorphic encryption approach for exploration of sensitive information retrieval

机译：敏感信息检索探索的同态加密方法

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This paper presents the core algorithms behind DB-Query-Encryption, a proposal that supports private information retrieval (PIR) explorations. DB-Query-Encryption permits users for selectively retrieve information from a cloud database whereas keeping sensitive data terms secretive. As an example use case, a medical research institute may, as part of a sensitive data exploration, requisite to look up facts about an individual person from a cloud database deprived of reveling the person's identity. The basic idea behind DB-Query-Encryption is to uses homomorphic encryption, which allows the cloud server to fulfill this request, whereas making it infeasible for the database owner (or a hacker who might compromised) to conclude the name being explored for, either which records are retrieved. The query, which retrieved the information, still secretive even if the spectator be able to search all the data over the cloud server and all the actions as they are being executed. Within that period, the query response produced by the cloud server is considerable smaller than the whole cloud database, making it more convenient when it is not feasible or appropriate for the user to transfer the entire database.
机译：本文介绍了DB查询加密后面的核心算法，该提案支持私人信息检索（PIR）探索。 DB - 查询加密允许用户从云数据库中选择性地检索信息，而保留敏感数据项秘密。作为一个示例用例，医学研究所可以作为敏感数据探索的一部分，从云数据库中夺取剥夺了人的身份的云数据库中的事实的必要条件。 DB-查询加密背后的基本思想是使用同性恋加密，这允许云服务器满足此请求，而使数据库所有者（或可能妥协）的数据库所有者（或可能妥协）的令人遗憾的是，它也是如此结束哪些记录被检索到。查询，它检索了信息，即使观众能够通过云服务器上搜索所有数据以及在被执行时的所有动作中搜索所有数据。在此期间，云服务器产生的查询响应比整个云数据库小得多，使其更方便，当用户不可行或适当地传输整个数据库时。

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