Corporate network anomaly detection methodology utilizing machine learning algorithms

Corporate network anomaly detection methodology utilizing machine learning algorithms

<p>This study addresses the critical need for securing corporate networks against anomalies, a pressing concern in ensuring the comprehensive security of these networks. It aims to develop and validate a new machine learning-based methodology for anomaly detection that is adaptable across vari...

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Bibliographic Details
Main Author: Nazerke Baisholan (22048322) (author)
Other Authors: Karlygash Baisholanova (22048325) (author), Kazila Kubayev (22048328) (author), Zhanna Alimzhanova (22048331) (author), Nazira Baimuldina (22048334) (author)
Published: 2025
Subjects:
Medicine
Science Policy
Space Science
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
Machine learning techniques
enterprise networks
machine learning
attack detection
traffic analysis
enterprise network security
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