Models of Assessment and Analysis in Security Management Systems

Modern conditions for the systems functioning requires the development of qualitatively new security technologies. This is due to the emergence of specific risks and threats, increased probability and the number of speculative attacks, a low rate of an adaptive response formation. In the paper, models for assessing and analyzing the level of security are proposed, which, based on principal component methods, canonical correlations, cluster analysis, neural-fuzzy modeling, classification trees, improve the quality of decisions in the security management system in conditions of incompleteness and heterogeneity of information, the hybrid systems of indicators were used.