Determining Resampling Ratios Using BSMOTE and SVM-SMOTE for Identifying Rare Attacks in Imbalanced Cybersecurity Data

Determining Resampling Ratios Using BSMOTE and SVM-SMOTE for Identifying Rare Attacks in Imbalanced Cybersecurity Data

Machine Learning is widely used in cybersecurity for detecting network intrusions. Though network attacks are increasing steadily, the percentage of such attacks to actual network traffic is significantly less. And here lies the problem in training Machine Learning models to enable them to detect an...

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Bibliographic Details
Main Authors: Sikha S. Bagui, Dustin Mink, Subhash C. Bagui, Sakthivel Subramaniam
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Computers
Subjects:
imbalanced data
resampling
rare attacks
Network Intrusion Datasets
BSMOTE
SVM-SMOTE
Online Access:https://www.mdpi.com/2073-431X/12/10/204

Internet

https://www.mdpi.com/2073-431X/12/10/204

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