A Research for Cloud Computing Security Risk Assessment

In order to solve the problem of the complexity of the process and the accuracy of evaluation results in cloud computing security risk assessment, the hierarchical holographic modeling method is applied to cloud computing risk identification phase, so as to clearly capture the cloud computing risk factors through a comprehensive analysis of cloud computing security domains. Moreover, with cloud computing security factors as the basic unit, fuzzy set theory and entropy weight method are used to accurately quantify the probability of cloud computing security risks and the resulting losses for a comprehensive assessment of cloud computing security risks. Finally, an example is given for calculation and verification, and the deficiencies of cloud computing security risk assessment are analyzed.