PCA-based Hotelling's T2 chart with fast minimum covariance determinant (FMCD) estimator and kernel density estimation (KDE) for network intrusion detection
In this work, the combination between the Principal Component Analysis (PCA) and the Hotelling's T2 chart is proposed to solve problems caused by the many highly correlated network traffic features and to reduce the computational time without reducing its accuracy detection. However, a new issu...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Elsevier Ltd
2021
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| Subjects: |