Evaluation of Information Security of Industrial Automation Systems Using Fuzzy Algorithms and Predicates

Abstract

The issues of using fuzzy algorithms and fuzzy predicates in the process of evaluating information security indicators of industrial automation systems are considered. This approach makes it possible to increase the reliability of decision-making on the values of specific evaluated information security indicators, taking into account the uncertainty (fuzziness) of observation data. The concepts of a fuzzy algorithm, a fuzzy predicate, a fuzzy number and a fuzzy operator, their role and interrelation in the problems of accounting for the fuzzy conditions for evaluating (measuring, modeling and observing) information security indicators are discussed. The features of the use of fuzzy algorithms and predicates for problems of this class are determined, the results of experimental calculations are described. It allow, as an example, one to judge on the degree of belongingness of the final evaluation of a specific indicator of information security for industrial automation systems to the set of true verified values of this indicator.