JOURNAL ARTICLE

HFCCW: A Novel Hybrid Filter-Clustering-Coevolutionary Wrapper Feature Selection Approach for Network Anomaly Detection

Niharika SharmaBhavna Arora

Year: 2024 Journal:   International Journal of Machine Learning and Cybernetics Vol: 15 (11)Pages: 4887-4922   Publisher: Springer Science+Business Media
Keywords:
Computational intelligence Anomaly detection Feature selection Artificial intelligence Computer science Cluster analysis Pattern recognition (psychology) Selection (genetic algorithm) Feature (linguistics) Filter (signal processing) Data mining Anomaly (physics) Machine learning Computer vision

Metrics

8
Cited By
6.69
FWCI (Field Weighted Citation Impact)
66
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
Complex Network Analysis Techniques
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Anomaly Detection Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence

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