Automatic construction of a neuro-fuzzy vulnerability risk analysis model

Abstract

This article presents a method for automating the construction of a fuzzy model for assessing and prioritizing the risks of vulnerability based on information obtained from open sources and the CVE database. The formation of the base of rules and parameters of the membership functions was automated by using the adaptive neuro-fuzzy inference system (ANFIS). The comparison of the obtained results with the previously determined fuzzy model, the formation of the parameters of which was performed manually, is presented