Trust based service optimization selection for cloud computing

被引：1

作者：

Li, Xiaohui ^{[1
,3
]}

He, Jingsha ^{[2
]}

Du, Ying ^{[3
]}

机构：

[1] Computer Science and Technology, Beijing University of Technology, Beijing

[2] School of Software Engineering, Beijing University of Technology, Beijing

[3] College of Electrical and Information Engineer, Liaoning University of Technology, Jinzhou, 121001, Liaoning

来源：

International Journal of Multimedia and Ubiquitous Engineering | 2015年 / 10卷 / 05期

关键词：

Cloud computing; Information entropy; Privacy protection; Trust;

D O I：

10.14257/ijmue.2015.10.5.20

中图分类号：

学科分类号：

摘要：

We present an approach for privacy preservation in cloud computing environment in which we propose to use information entropy and rough set theory with the goal of personalized privacy protection in cloud users during service selection based on trust. In the approach, cloud server is as an active service provider to personalize the cloud user privacy, cloud user selects the service which is quantified by trust for multi-tenant personalized privacy protection needs. We descript user privacy information by the service and trust attributes, design a multi-attribute service quantization algorithm using information entropy and rough set theory for the quality of service. The approach can achieve the purpose of quantitative service and dynamically adjust the supply relationship service based on multi-attribute, analysis shows which can effectively protect user privacy and personalization by quantifying the cloud service. © 2015 SERSC.

引用

页码：221 / 230

页数：9

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