Network intrusion detection using hybrid machine learning methods

Network intrusion detection using hybrid machine learning methods

Network intrusion detection is a relevant cybersecurity research field. The growing number of intrusions requires more sophisticated methods to protect computer networks. Various machine learning algorithms are used to detect network intrusions and anomalies, but their accuracy is limited. In this...

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Bibliographic Details
Main Authors: Karina Čiurlienė, Denisas Stankevičius
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2023-09-01
Series:Mokslas: Lietuvos Ateitis
Subjects:
network anomalies
machine learning
χ2- Chi-squared test
hyperparameters
hybrid algorithms
Online Access:https://journals.vilniustech.lt/index.php/MLA/article/view/19385

Internet

https://journals.vilniustech.lt/index.php/MLA/article/view/19385

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