Earticle

초록

영어

With the development of cloud computing, more and more service providers deploy multi-tenant applications to the cloud. Multi-tenant data is stored by non-fully trusted SaaS service providers, and the protection of data privacy attracts more attention. This paper proposes a privacy protection strategy customization framework. This framework considers the privacy protection needs, SaaS application performance, the interests of both tenants and SaaS service providers, and analyzes the whole privacy protection strategy formulation process based on the Nash equilibrium, then establishes the game model of privacy protection, finally obtains the privacy protection strategy by analyzing of the game model. The experiments show that the privacy protection game model has better feasibility and effectiveness.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Personalized Privacy Protection Customized Framework
 4. Formulation of the Privacy Protection Strategy
  4.1. Redundancy Checking and Conflict Checking
  4.2. Privacy Protection Level
  4.3. The Privacy Protection Strategy Model
  4.4. The Existence Proof
  4.4. Solution of the Equilibrium Point
 5. Experiments
  5.1. Test on the Impact that the Amount of Tenants’ Data has on Storage Servers
  5.2. Analysis of Privacy Protection Strategy
 6. Summarize
 Acknowledgements
 References

키워드

저자

• Chao Yu [ School of Computer Science and Technology, Shandong University, Jinan, China ]
• Yuliang Shi [ School of Computer Science and Technology, Shandong University, Jinan, China ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605