PCA-based Hotelling's T2 chart with fast minimum covariance determinant (FMCD) estimator and kernel density estimation (KDE) for network intrusion detection

• Main Authors: Muhammad Mashuri, Muhammad Mashuri, Muhammad Ahsan, Muhammad Ahsan, Lee, Muhammad Hisyam, Prastyo, Dedy Dwi, Wibawati, Wibawati
• Format: Article
• Published: Elsevier Ltd 2021
• Subjects: QA Mathematics
• Online Access: http://eprints.utm.my/id/eprint/97279/; http://dx.doi.org/10.1016/j.cie.2021.107447

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...