Email this article Identifying Cyberthreats in Modern Industrial Systems by Means of Deep-Learning Networks
- Authors: Krundyshev V.M.1
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Affiliations:
- Peter the Great St. Petersburg Polytechnic University
- Issue: Vol 53, No 8 (2019)
- Pages: 1006-1011
- Section: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175991
- DOI: https://doi.org/10.3103/S014641161908011X
- ID: 175991
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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.
About the authors
V. M. Krundyshev
Peter the Great St. Petersburg Polytechnic University
Author for correspondence.
Email: vmk@ibks.spbstu.ru
Russian Federation, St. Petersburg, 195251
