Quantitative evaluation method of cloud security

Abstract

As cloud computing technology has been widely used in the world, the security assessment of cloud computing platform has caught lots of attention. Based on the characteristics of cloud computing platform, this article presents an indicator system to evaluate the security of cloud computing. The system makes use of fuzzy membership function to express the subjective evaluation elements and adopt G.A. Miller theory to quantify the overall security of cloud computing platform. The method in the paper not only helps to get the optimal weight, but also takes both the experts’ preference to assessment program and optimal ranking into account. And the example shows that the methodology in this paper is operable and reasonable for the assessment of cloud computing platform security.