| Issue |
E3S Web Conf.
Volume 376, 2023
International Scientific and Practical Conference “Environmental Risks and Safety in Mechanical Engineering” (ERSME-2023)
|
|
|---|---|---|
| Article Number | 01062 | |
| Number of page(s) | 9 | |
| Section | I Environmental Risks and Safety in Mechanical Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202337601062 | |
| Published online | 31 March 2023 | |
Optimal cybersecurity management of an IP video surveillance system using neural network technologies
1 Research Institute of the Federal Penitentiary Service of Russia, Center for the Study of Problems of Management and Organization of Execution of Punishments in the Penal System, 125130 Moscow, Russia
2 Tver State University, st. Zhelyabova, 33, 170100, Tver, Russia
* Corresponding author: university69@mail.ru
The aim of the study is to solve the actual problem of constructing an optimal strategy for managing a system for protecting against the spread of computer epidemics of IP video surveillance networks used in the work of distributed situational centers. The paper presents a new mathematical modeling apparatus for building an adaptive network protection system from cyber-attacks using a hybrid approach that uses both classical control and neurocontrol based on an artificial neural network.
Key words: Situational center / IP video surveillance / computer viruses / simulation of the spread of epidemics / optimal control / neurocontrol
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.