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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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Principais autores: Sikha S. Bagui, Dustin Mink, Subhash C. Bagui, Sakthivel Subramaniam
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-03-01
Serier:Knowledge
Fag:
imbalanced data
network intrusion datasets
BSMOTE
SVM-SMOTE
random oversampling
random undersampling
Online adgang:https://www.mdpi.com/2673-9585/4/1/6
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