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Efficient and Secure Data Retrieval Scheme Using Searchable Encryption in Cloud Storage

机译:使用云存储中可搜索的加密的高效和安全数据检索方案

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In the new era of data explosion, the problem of data storage and portability were solved with the advent of the cloud technologies. But the attendant problem is that most of the data stored by users are always uploaded as the form of plaintext, this means that the more data and information are uploaded by the user in cloud, the more privacy and information security risks will be. This paper presents a data retrieval system by using public key encryption system with keyword search, in which the client could test whether or not the file stored in cloud server contains the keyword without leaking the information about the encrypted file. We apply asymmetric pairings to achieve shorter key size scheme in the standard model, and adopt the dual system encryption technique to reduce the scheme's secure problem to the hard Symmetric External Diffie-Hellman assumption. In the last of paper, we analyse the scheme's efficiency and point out that our scheme is more efficient and secure than some other classical data retrieval models.
机译:在数据爆炸的新时代,通过云技术的出现解决了数据存储和便携性的问题。但是,话务员问题是用户存储的大多数数据始终以明文上传的形式上传,这意味着用户在云中上传的数据和信息越多,隐私和信息安全风险越多。本文通过使用带关键字搜索的公钥加密系统提供数据检索系统,其中客户端可以测试存储在云服务器中的文件是否包含关键字,而不泄露有关加密文件的信息。我们应用非对称配对来实现标准模型中的较短键尺寸方案,采用双系统加密技术,以减少该方案对硬对称外部Diffie-Hellman假设的安全问题。在最后一篇论文中,我们分析了该方案的效率并指出,我们的计划比其他一些古典数据检索模型更有效和安全。

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