Secure Big Data Storage and Sharing Scheme for Cloud Tenants

被引：38

作者：

Cheng Hongbing ^{[1
,2
]}

Rong Chunming ^{[3
]}

Hwang Kai ^{[4
]}

Wang Weihong ^{[1
]}

Li Yanyan ^{[1
]}

机构：

[1] Zhejiang Univ Technol, Coll Comp Sci, Hangzhou 310023, Zhejiang, Peoples R China

[2] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing 210093, Jiangsu, Peoples R China

[3] Univ Stavanger, Dept Elect Engn & Comp Sci, N-4036 Stavanger, Norway

[4] Univ So Calif, Elect Engn & Comp Sci, Los Angeles, CA 90089 USA

来源：

CHINA COMMUNICATIONS | 2015年 / 12卷 / 06期

基金：

中国博士后科学基金;

关键词：

cloud computing; big data; storage and sharing; security; ISSUES;

D O I：

10.1109/CC.2015.7122469

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

The Cloud is increasingly being used to store and process big data for its tenants and classical security mechanisms using encryption are neither sufficiently efficient nor suited to the task of protecting big data in the Cloud. In this paper, we present an alternative approach which divides big data into sequenced parts and stores them among multiple Cloud storage service providers. Instead of protecting the big data itself, the proposed scheme protects the mapping of the various data elements to each provider using a trapdoor function. Analysis, comparison and simulation prove that the proposed scheme is efficient and secure for the big data of Cloud tenants.

引用

页码：106 / 115

页数：10

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