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.
Authors
- Sergii Golovashych (ORCID: https://orcid.org/0009-0004-2468-1952)
- Oleksandr Milov (ORCID: https://orcid.org/0000-0001-6135-2120)
- Iryna Aksonova (ORCID: https://orcid.org/0000-0003-2605-0455)
- Алла Гаврилова (ORCID: https://orcid.org/0000-0002-2015-8927)
- Irada Rahimova
- Dmytro Pecherytsia
Institutions
- Azerbaijan Technical University (AZ)
- National Technical University "Kharkiv Polytechnic Institute" (UA)
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