Optimal cybersecurity management of an IP video surveillance system using neural network technologies

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...

Full description

Bibliographic Details
Main Author: Tsarkova Evgenia
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:E3S Web of Conferences
Subjects:
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/13/e3sconf_ersme2023_01062.pdf
Description
Summary: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.
ISSN:2267-1242