Adaptive Control System for Detecting Computer Attacks on Objects of Critical Information Infrastructure

Adaptive Control System for Detecting Computer Attacks on Objects of Critical Information Infrastructure

연구 분야: Infrastructure

학회: Automatic Control and Computer Sciences

This paper presents an adaptive control system for detecting computer attacks in CII based on a neuro-fuzzy analysis of variant cyber-threat spaces and parameters of the protected object using an adaptive neuro-fuzzy inference system (ANFIS) and the Takagi–Sugeno–Kang 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.