Enviar artigo por via de e-mail Identifying Cyberthreats in Modern Industrial Systems by Means of Deep-Learning Networks
- Autores: Krundyshev V.M.1
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Afiliações:
- Peter the Great St. Petersburg Polytechnic University
- Edição: Volume 53, Nº 8 (2019)
- Páginas: 1006-1011
- Seção: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175991
- DOI: https://doi.org/10.3103/S014641161908011X
- ID: 175991
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Resumo
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.
Sobre autores
V. Krundyshev
Peter the Great St. Petersburg Polytechnic University
Autor responsável pela correspondência
Email: vmk@ibks.spbstu.ru
Rússia, St. Petersburg, 195251
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