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...

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Veröffentlicht in:Automatic control and computer sciences 2019-12, Vol.53 (8), p.1006-1011
1. Verfasser: Krundyshev, V. M.
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Sprache:eng
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Artificial intelligence
Computer Science
Control Structures and Microprogramming
Deep learning
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description 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.
doi_str_mv 10.3103/S014641161908011X
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subjects Artificial intelligence
Computer Science
Control Structures and Microprogramming
Deep learning
title Identifying Cyberthreats in Modern Industrial Systems by Means of Deep-Learning Networks
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