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Automatic Control and Computer Sciences

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01-12-2020

Ensuring Cybersecurity of Digital Production Using Modern Neural Network Methods

Author: V. M. Krundyshev

Published in: Automatic Control and Computer Sciences | Issue 8/2020

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Abstract

The transition from the information economy to the digital one presents new challenges for society associated with the development of disruptive technologies, a network of cyber-physical systems, artificial intelligence and big data. When creating digital platforms, a number of difficulties arise: the large size of the digital infrastructure and its heterogeneity, poorly established information interaction between segments, the lack of a unified approach to ensuring cybersecurity and a high dependence on the qualifications of personnel and equipment reliability. The introduction of the digital economy leads to an increase in the risk of cyber threats associated with access control problems between information flow regulation and control systems. To solve the problems of detecting cyber threats, it is proposed to use generative adversarial neural networks. Algorithms for learning and testing a neural network were presented. The results of the experiments have demonstrated that the proposed solution is highly accurate in detecting cyberattacks.

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Title: Ensuring Cybersecurity of Digital Production Using Modern Neural Network Methods
Author: V. M. Krundyshev
Publication date: 01-12-2020
Publisher: Pleiades Publishing
Published in: Automatic Control and Computer Sciences / Issue 8/2020
Print ISSN: 0146-4116
Electronic ISSN: 1558-108X
DOI: https://doi.org/10.3103/S0146411620080179

Springer Professional

Abstract

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