Resampling to Classify Rare Attack Tactics in UWF-ZeekData22

One of the major problems in classifying network attack tactics is the imbalanced nature of data. Typical network datasets have an extremely high percentage of normal or benign traffic and machine learners are skewed toward classes with more data; hence, attack data remain incorrectly classified. Th...

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Bibliographic Details
Published in:	Knowledge
Main Authors:	Sikha S. Bagui, Dustin Mink, Subhash C. Bagui, Sakthivel Subramaniam
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Subjects:	imbalanced data network intrusion datasets BSMOTE SVM-SMOTE random oversampling random undersampling
Online Access:	https://www.mdpi.com/2673-9585/4/1/6

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