PIMRS: achieving privacy and integrity-preserving multi-owner ranked-keyword search over encrypted cloud data

PIMRS: achieving privacy and integrity-preserving multi-owner ranked-keyword search over encrypted cloud data
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PIMRS:通过加密的云数据实现隐私和完整性保护的多所有者排名关键字搜索

DOI:
10.1002/sec.1482
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发表时间:
2016
影响因子:
--
通讯作者:
Gu Chunhua
Gu Chunhua
中科院分区:
计算机科学4区
文献类型:
--
作者:
Li Jinguo;Wen Mi;Lu Kejie;Gu Chunhua

文献摘要

相似文献

由于云计算带来的灵活性和便利性,它已经被许多应用所采用。为了保护云数据的隐私,数据所有者通常会对所有敏感数据文件进行加密,这使得基于明文的关键字搜索应用程序成为一项非常具有挑战性的任务。因此,最近开发了几种保护隐私的关键字搜索算法,这些算法大多只支持单一数据所有者设置。然而,在真实的应用中,数据拥有者往往不止一个,这比单一拥有者的情况要复杂得多,也更具挑战性。为了支持多所有者关键字搜索,那些先前的搜索算法需要重复多次,因为每个数据所有者打算单独地用唯一的私钥加密他自己的文件。这绝对不是一个有效的方法。在本文中,我们提出了一个隐私和完整性保护的多所有者排名关键字搜索方案,称为PIMRS。在PIMRS中,我们利用基于TF×IDF规则的非对称标量积加密函数来保护数据隐私并获得更精确的搜索结果。此外,提出了一种基于循环双向链表的方案,以保持搜索结果的完整性,这也使得云服务器的不当行为被检测。PIMRS的安全性分析表明其具有隐私性和完整性,基于真实数据集的大量实验证实了所提方案的高效性。版权所有© 2016约翰威利父子有限公司.
Because of the flexibility and convenience brought by cloud computing, it has been adopted in many applications. To preserve the privacy of cloud data, data owner often encrypts all sensitive data files, which makes the keyword search application based on plaintext a very challenging task. Therefore, several privacy-preserving keyword search algorithms have been developed recently, and most of these works support only single-data-owner settings. However, there are always more than one data owners in real applications, which are much more complex and challenging than single-owner scenario. To support multi-owner keyword search, those prior search algorithms need to be repeated several times, because each data owner intends to encrypt his own files with a unique private-key separately. It is absolutely not an efficient way. In this paper, we propose a privacy and integrity-preserving multi-owner ranked-keyword search scheme termed PIMRS. In the PIMRS, we exploit an asymmetric scalar-product encryption function based on the TF×IDF rule to preserve data privacy and to obtain more precise search results. Furthermore, a circular bi-direction-linked list based scheme is proposed to preserve the integrity of search results, which also enables the misbehaviors of cloud server to be detected. The security analysis of PIMRS shows its privacy and integrity property, and extensive experiments based on real-world data set confirm the high efficiency of proposed schemes. Copyright © 2016 John Wiley & Sons, Ltd.