Borderline SMOTE Algorithm and Feature Selection‐Based Network Anomalies Detection Strategy

This paper proposes a novel network anomaly detection framework based on data balance and feature selection. Different from the previous binary classification of network intrusion, the network anomaly detection strategy proposed in this paper solves the problem of multiple classification of network...

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Bibliographic Details
Main Authors:	Cai, Q. (Author), Kong, Z. (Author), Li, J. (Author), Que, H. (Author), Sun, Y. (Author), Wang, S. (Author), Zhao, J. (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	Algorithm selection Anomaly detection borderline SMOTE Borderline SMOTE Decision trees Feature Selection Features selection information gain ratio Information gain ratio Intrusion detection Learning algorithms machine learning Machine-learning Network anomaly detection network intrusion detection Network intrusion detection Network intrusions Selection based SMOTE algorithm
Online Access:	View Fulltext in Publisher

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View Fulltext in Publisher

Borderline SMOTE Algorithm and Feature Selection‐Based Network Anomalies Detection Strategy

Internet

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