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Automatic Control and Computer Sciences

Erschienen in:

01.12.2019

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

verfasst von: V. M. Krundyshev

Erschienen in: Automatic Control and Computer Sciences | Ausgabe 8/2019

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Abstract

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.

Vorheriger Artikel Face Recognition Based on the Coefficient Tree for Three Scale Wavelet Transformation

Nächster Artikel Preparing Datasets for Training in a Neural Network System of Intrusion Detection in Industrial Systems

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Titel: Identifying Cyberthreats in Modern Industrial Systems by Means of Deep-Learning Networks
verfasst von: V. M. Krundyshev
Publikationsdatum: 01.12.2019
Verlag: Pleiades Publishing
Erschienen in: Automatic Control and Computer Sciences / Ausgabe 8/2019
Print ISSN: 0146-4116
Elektronische ISSN: 1558-108X
DOI: https://doi.org/10.3103/S014641161908011X

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