Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Preliminaries
  3.1. Relevant Definitions
  3.2 Relevant Definitions
 4. Preliminaries
  4.1 Design Idea
  4.2 Algorithm Description
  4.3 Simulation Results
 5. Conclusion
 Acknowledgments
 References

키워드

저자

• Xiaohui Li [ Computer Science and Technology, Beijing University of Technology, Beijing 100124, China, College of Electrical and Information Engineer, Liaoning University of Technology Jinzhou, Liaoning, 121001, China ]
• Jingsha He [ School of Software Engineering, Beijing University of Technology, Beijing 100124, China ]
• Ying Du [ College of Electrical and Information Engineer, Liaoning University of Technology Jinzhou, Liaoning, 121001, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605