Cybersecurity of SMART Technologies Using Deep Learning Methods

The concept of “smart”, the concept of smart technology, and its main elements are considered. An analysis of the factors influencing the formation and development of the concept of smart technology is provided. Aspects of the development of smart technology are highlighted. A description of deep learning methods is given and their classification is proposed. The areas of application of the described methods in various cybersecurity applications are identified, including detection of intrusions and malware, analysis of network traffic and some other tasks related to smart technologies.

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Publication Details

Published
2024-11-07
DOI
https://doi.org/10.1109/ismsit63511.2024.10757295
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
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Cybersecurity of SMART Technologies Using Deep Learning Methods

Sergii Golovashych, Oleksandr Milov, Iryna Aksonova, Алла Гаврилова et al.
Network Security and Intrusion Detection
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Cybersecurity of SMART Technologies Using Deep Learning Methods

Sergii Golovashych, Oleksandr Milov, Iryna Aksonova, Алла Гаврилова, Irada Rahimova, Dmytro Pecherytsia
article en

Abstract

The concept of “smart”, the concept of smart technology, and its main elements are considered. An analysis of the factors influencing the formation and development of the concept of smart technology is provided. Aspects of the development of smart technology are highlighted. A description of deep learning methods is given and their classification is proposed. The areas of application of the described methods in various cybersecurity applications are identified, including detection of intrusions and malware, analysis of network traffic and some other tasks related to smart technologies.

Azerbaijan Technical University (AZ), National Technical University "Kharkiv Polytechnic Institute" (UA)
Openalex Percentile: Top 72%
Network Security and Intrusion Detection
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