Application of Machine Learning Technologies for Managing Multifactor Threats in an Integrated Model of Cognitive Security Center at Defense Industry Enterprise

Application of Machine Learning Technologies for Managing Multifactor Threats in an Integrated Model of Cognitive Security Center at Defense Industry Enterprise

The presented innovative model of the cognitive security center, based on machine learning technologies, represents a significant advancement in effectively managing multifactor threats in defense-industrial complex enterprises. This article provides a detailed examination of key elements of this mo...

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Bibliographic Details
Main Authors: Pavel Panilov, Tatiana Tsibizova
Format: Article
Language:Russian
Published: The Fund for Promotion of Internet media, IT education, human development «League Internet Media» 2024-03-01
Series:Современные информационные технологии и IT-образование
Subjects:
integrated model
cognitive security center
machine learning
data analysis
anomaly detection
threat response
real-time response
multifactor threats
Online Access:https://sitito.cs.msu.ru/index.php/SITITO/article/view/1017
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