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摘要:
In our today’s life, it is obvious that cloud computing is one of the new and most important innovations in the field of information technology which constitutes the ground for speeding up the development in great size storage of data as well as the processing and distribution of data on the largest scale. In other words, the most important interests of any data owner nowadays are related to all of the security as well as the privacy of data, especially in the case of outsourcing private data on a cloud server publicly which has not been one of the well-trusted and reliable domains. With the aim of avoiding any leakage or disclosure of information, we will encrypt any information important or confidential prior to being uploaded to the server and this may lead to an obstacle which encounters any attempt to support any efficient keyword query to be and ranked with matching results on such encrypted data. Recent researches conducted in this area have focused on a single keyword query with no proper ranking scheme in hand. In this paper, we will propose a new model called Secure Model for Preserving Privacy Over Encrypted Cloud Computing (SPEC) to improve the performance of cloud computing and to safeguard privacy of data in comparison to the results of previous researches in regard to accuracy, privacy, security, key generation, storage capacity as well as trapdoor, index generation, index encryption, index update, and finally files retrieval depending on access frequency.
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文献信息
篇名 Security Model for Preserving Privacy over Encrypted Cloud Computing
来源期刊 电脑和通信(英文) 学科 工学
关键词 CLOUD Computing Multi-Keyword QUERY Ranked QUERY TRAPDOOR PRIVACY PRESERVING Encrypted CLOUD Data TOP-K QUERY CLOUD Security
年,卷(期) 2017,(6) 所属期刊栏目
研究方向 页码范围 149-165
页数 17页 分类号 TP3
字数 语种
DOI
五维指标
传播情况
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研究主题发展历程
节点文献
CLOUD
Computing
Multi-Keyword
QUERY
Ranked
QUERY
TRAPDOOR
PRIVACY
PRESERVING
Encrypted
CLOUD
Data
TOP-K
QUERY
CLOUD
Security
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
电脑和通信(英文)
月刊
2327-5219
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
783
总下载数(次)
0
总被引数(次)
0
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