ADAPTIVE CONTROL SYSTEM FOR DETECTING COMPUTER ATTACKS ON OBJECTS OF CRITICAL INFORMATION INFRASTRUCTURE

This paper presents an adaptive control system for detecting computer attacks in critical
information infrastructure based on a neuro-fuzzy analysis of variant cyber-threat spaces and parameters
of the protected object using the automatically reconfigurable ANFIS neuro-fuzzy inference
system and Takagi-Sugeno-Kanga fuzzy basis. The results of experimental studies have shown
that the developed system provides high accuracy and speed of detecting computer attacks in
changing decision-making conditions