Backward Cloud Based Elimination of Uncertainty in Security Assessment Parameters

The uncertainty in selection of security assessment parameters heavily affects the accuracy and credibility of the assessment results. The method of selection based on opinion of group experts lacks the ability of describing the uncertainty in the selection procedure, and the method based on interval matrixes does not measure the degree of credibility of the chosen matrix. This paper presents an algorithm of selecting security assessment parameters based on backward cloud in the cloud model. This algorithm has been applied to our design work of security assessment tools. The application of the algorithm improved the degree of credibility of the parameter selection procedure, indicating the correctness and effectiveness of the algorithm.