Identifying Cyberthreats in Modern Industrial Systems by Means of Deep-Learning Networks

Identifying Cyberthreats in Modern Industrial Systems by Means of Deep-Learning Networks

This article presents an approach to building a system for identifying cyberthreats in modern industrial systems (IIoT, VANET, WSN) by means of artificial intelligence and deep learning. The results of the tests conducted to assess the suggested approach for efficiency based on deep-learning network...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Automatic control and computer sciences 2019-12, Vol.53 (8), p.1006-1011
1. Verfasser: Krundyshev, V. M.
Format: Artikel
Sprache:eng
Schlagworte:
Artificial intelligence
Computer Science
Control Structures and Microprogramming
Deep learning
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:This article presents an approach to building a system for identifying cyberthreats in modern industrial systems (IIoT, VANET, WSN) by means of artificial intelligence and deep learning. The results of the tests conducted to assess the suggested approach for efficiency based on deep-learning networks are provided.
ISSN:0146-4116
1558-108X
DOI:10.3103/S014641161908011X