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A Multi-keyword Multi-user Searchable Encryption Scheme Based On Cloud Storage

机译:基于云存储的多关键字多用户可搜索的加密方案

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With the development of cloud computing, the huge growth of data from electronic business or social network leads to a trend that the owners of data are inclined to outsource their data (usually encrypted) to cloud storage servers. Leveraging searchable encryption technologies can not only guarantee the confidentiality and integrity of the data, but also achieve an effective search on encrypted data. Compared with the single keyword search, the multi-keyword search has an important practical significance for its more precise retrieval of data. Meanwhile, aimed at the defects in existing searchable encryption schemes, such as the unsatisfactory search efficiency and no support for multi-user search, etc., in this paper, we propose a multi-keyword multi-user searchable encryption scheme based on cloud storage, which is realized through secure interactions between authorized users and cloud severs. Our proposal adopts the encryption of exponent which is realized through secure interactions between authorized users and cloud severs involved generation of secure trapdoor and is of indistinguishability against adaptive chosen keyword attack (IND-CKA). Subsequently, theoretical and empirical evaluations demonstrate the desirable retrieval efficiency of our proposal compared with current methods. And meanwhile, our proposal achieves the access controllability of the encrypted data, and is of dynamic addition and revocation of authorized users, at the same time is of dynamic update of the user accessing to files.
机译:随着云计算的发展,电子商务或社交网络的数据巨大增长导致数据所有者倾向于将其数据(通常加密)外包给云存储服务器。利用可搜索的加密技术不仅可以保证数据的机密性和完整性,还可以在加密数据中实现有效搜索。与单个关键字搜索相比,多关键字搜索对其更精确的数据进行了重要的实际意义。同时,针对现有可搜索的加密方案中的缺陷,例如不令人满意的搜索效率,并且不支持多用户搜索等,我们提出了一种基于云存储的多关键字多用户可搜索的加密方案,通过授权用户与云之间的安全相互作用实现。我们的建议采用指数的加密,通过授权用户和云之间的安全相互作用,SEVERS所涉及的安全trapdoor的生成,并且对Adaptive Chensed关键字攻击(Ind-CKA)的无法区分。随后,理论和经验评估表明,与目前的方法相比,我们提案的理想检索效率。同时,我们的提议实现了加密数据的访问可控性,并且具有动态添加和授权用户的撤销,同时是用户访问文件的动态更新。

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