Anomaly detection in network traffic using machine learning

Ensuring network security has become difficult due to the rapid growth of internet-connected devices, leading to a significant increase in network traffic data. The enormous amount of data generated is vulnerable to multiple types of cyberattacks and intrusions, including phishing, denial-of-service...

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Bibliographic Details

Main Authors:	Amir Muhammad Hafiz, Othman, Mohd Faizal, Ab Razak, Mohd Izham, Mohd Jaya, Nurul Azma, Abdullah, Alanda, Alde
Format:	Article
Language:	en
Published:	Politeknik Negeri Padang 2026
Subjects:	QA75 Electronic computers. Computer science
Online Access:	https://umpir.ump.edu.my/id/eprint/47637/1/Anomaly%20Detection%20in%20Network%20Traffic%20Using%20Machine%20Learning.pdf https://umpir.ump.edu.my/id/eprint/47637/ https://joiv.org/index.php/joiv/article/view/4898
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