Information security risk analysis methods: fuzzy logic

A.S. Lyubukhin

Abstract


This article presents a theoretical study of the applicability of fuzzy set theory for the analysis and assessment of information risks in the course of auditing the security of critical information infrastructure objects. The features of this theory are considered on examples from the subject area of information risks with the construction of a diagram, illustrating the stages of implementation of fuzzy inference. Each of the stages of fuzzy inference is detailed with a transposition to the process of analyzing and evaluating information risks using the example of analyzing information about DDOS attacks on an information system. In the course of the study, the applicability of the fuzzy set theory for solving the problem of analyzing and assessing information risks of critical information infrastructure objects was proved.


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References


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