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Efficient Conjunctive Keyword Search on Encrypted Data Storage System

机译:加密数据存储系统上的有效联合关键字搜索

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摘要

We study conjunctive keyword search scheme allowing for remote search of data containing each of several keywords on encrypted data storage system. A data supplier first uploads encrypted data on a storage system, and then a user of the storage system searches data containing keywords over encrypted data hence insider (such as an administrator of the storage system) and outsider attackers do not learn anything else about the data. Recently, Golle et al. first suggested conjunctive keyword search scheme, but the communication and storage costs linearly depend on the number of stored data in the database, hence it is not really suitable for a large scale database. In this paper, we propose an efficient conjunctive keyword search scheme over encrypted data in aspects of communication and storage costs. Concretely, we reduce the storage cost of a user and the communication cost between a user and a data supplier to the constant amounts. We formally define security model for a conjunctive keyword search scheme and prove that the proposed scheme is secure under the decisional bilinear Diffie-Hellman (DBDH) assumption in the random oracle model.
机译:我们研究了联合关键字搜索方案,该方案允许在加密的数据存储系统上远程搜索包含多个关键字中的每个关键字的数据。数据提供者首先将加密的数据上传到存储系统上,然后存储系统的用户在加密的数据上搜索包含关键字的数据,因此内部人员(例如存储系统的管理员)和外部攻击者不会了解有关该数据的其他信息。最近,Golle等人。首先提出了联合关键字搜索方案,但是通信和存储成本线性地取决于数据库中存储数据的数量,因此,它实际上并不适合大型数据库。在本文中,我们在通信和存储成本方面提出了一种针对加密数据的有效联合关键字搜索方案。具体而言,我们将用户的存储成本和用户与数据提供者之间的通信成本降低到恒定的数量。我们正式定义了一个联合关键字搜索方案的安全模型,并证明了该方案在随机预言模型中的决策双线性Diffie-Hellman(DBDH)假设下是安全的。

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