电邮这篇文章 Identifying Cyberthreats in Modern Industrial Systems by Means of Deep-Learning Networks
- 作者: Krundyshev V.M.1
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隶属关系:
- Peter the Great St. Petersburg Polytechnic University
- 期: 卷 53, 编号 8 (2019)
- 页面: 1006-1011
- 栏目: Article
- URL: https://journals.rcsi.science/0146-4116/article/view/175991
- DOI: https://doi.org/10.3103/S014641161908011X
- ID: 175991
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详细
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.
作者简介
V. Krundyshev
Peter the Great St. Petersburg Polytechnic University
编辑信件的主要联系方式.
Email: vmk@ibks.spbstu.ru
俄罗斯联邦, St. Petersburg, 195251
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