云存储中使用可搜索加密的高效安全数据检索方案

Lei Xu, Chungen Xu
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引用次数: 2

摘要

在数据爆炸的新时代,云技术的出现解决了数据的存储和可移植性问题。但随之而来的问题是,用户存储的大部分数据总是以明文的形式上传,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就越大。本文提出了一种利用公钥加密系统进行关键字搜索的数据检索系统,客户端可以在不泄露加密文件信息的情况下检测存储在云服务器上的文件是否包含该关键字。我们在标准模型中采用非对称对实现更短密钥大小的方案,并采用双系统加密技术将方案的安全问题降低到硬对称外部Diffie-Hellman假设。本文最后对该方案进行了效率分析,指出该方案比其他经典数据检索模型更高效、更安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient and Secure Data Retrieval Scheme Using Searchable Encryption in Cloud Storage
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.
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