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Automatic Control and Computer Sciences

Erschienen in:

01.12.2022

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

verfasst von: V. M. Krundyshev, M. O. Kalinin

Erschienen in: Automatic Control and Computer Sciences | Ausgabe 8/2022

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Abstract

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.

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Titel: Adaptive Control System for Detecting Computer Attacks on Objects of Critical Information Infrastructure
verfasst von: V. M. Krundyshev
M. O. Kalinin
Publikationsdatum: 01.12.2022
Verlag: Pleiades Publishing
Erschienen in: Automatic Control and Computer Sciences / Ausgabe 8/2022
Print ISSN: 0146-4116
Elektronische ISSN: 1558-108X
DOI: https://doi.org/10.3103/S0146411622080090

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