Efficient multi-keyword ranked query over encrypted data in cloud computing
文献类型：期刊论文
| 作者 | Li, Ruixuan; Xu, Zhiyong; Kang, Wanshang; Yow, Kin Choong; Xu, Cheng-Zhong |
| 刊名 | FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING AND ESCIENCE
 |
| 出版日期 | 2014 |
| 英文摘要 | Cloud computing infrastructure is a promising new technology and greatly accelerates the development of large scale data storage, processing and distribution. However, security and privacy become major concerns when data owners outsource their private data onto public cloud servers that are not within their trusted management domains. To avoid information leakage, sensitive data have to be encrypted before uploading onto the cloud servers, which makes it a big challenge to support efficient keyword-based queries and rank the matching results on the encrypted data. Most current works only consider single keywordqueries without appropriate ranking schemes. In the current multi-keyword ranked search approach, the keyword dictionary is static and cannot be extended easily when the number of keywords increases. Furthermore, it does not take the user behavior and keyword access frequency into account. For the querymatching result which contains a large number of documents, the out-of-order ranking problem may occur. This makes it hard for the data consumer to find the subset that is most likely satisfying its requirements. In this paper, we propose a flexible multi-keyword query scheme, called MKQE to address the aforementioned drawbacks. MKQE greatly reduces the maintenance overhead during the keyword dictionary expansion. It takes keyword weights and user access history into consideration when generating the query result. Therefore, the documents that have higher access frequencies and that match closer to the users' access history get higher rankings in the matching result set. Our experiments show that MKQE presents superior performance over the current solutions. (C) 2013 Elsevier B.V. All rights reserved. |
| 收录类别 | SCI |
| 原文出处 | http://www.sciencedirect.com/science/article/pii/S0167739X1300143X |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/6011]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING AND ESCIENCE |
| 推荐引用方式 GB/T 7714 | Li, Ruixuan,Xu, Zhiyong,Kang, Wanshang,et al. Efficient multi-keyword ranked query over encrypted data in cloud computing[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING AND ESCIENCE,2014. |
| APA | Li, Ruixuan,Xu, Zhiyong,Kang, Wanshang,Yow, Kin Choong,&Xu, Cheng-Zhong.(2014).Efficient multi-keyword ranked query over encrypted data in cloud computing.FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING AND ESCIENCE. |
| MLA | Li, Ruixuan,et al."Efficient multi-keyword ranked query over encrypted data in cloud computing".FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING AND ESCIENCE (2014). |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。