Resampling Imbalanced Network Intrusion Datasets to Identify Rare Attacks

Resampling Imbalanced Network Intrusion Datasets to Identify Rare Attacks

This study, focusing on identifying rare attacks in imbalanced network intrusion datasets, explored the effect of using different ratios of oversampled to undersampled data for binary classification. Two designs were compared: random undersampling before splitting the training and testing data and r...

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Bibliographic Details
Main Authors: Sikha Bagui, Dustin Mink, Subhash Bagui, Sakthivel Subramaniam, Daniel Wallace
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Future Internet
Subjects:
imbalanced data
resampling
rare attacks
network intrusion datasets
minority data
oversampling
Online Access:https://www.mdpi.com/1999-5903/15/4/130

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https://www.mdpi.com/1999-5903/15/4/130

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