Machine Learning Algorithms for Raw and Unbalanced Intrusion Detection Data in a Multi-Class Classification Problem

Various machine learning algorithms have been applied to network intrusion classification problems, including both binary and multi-class classifications. Despite the existence of numerous studies involving unbalanced network intrusion datasets, such as CIC-IDS2017, a prevalent approach is to addres...

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Bibliographic Details
Main Authors: Mantas Bacevicius, Agne Paulauskaite-Taraseviciene
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/12/7328