Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

Md Alamin Talukder, Md Manowarul Islam, Md Ashraf Uddin, Khondokar Fida Hasan, Selina Sharmin, Salem A. Alyami, Mohammad Ali Moni

Research output: Contribution to journal › Article › peer-review

15 Citations (Scopus)
29 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction'. Together they form a unique fingerprint.

Computer Science

Keyphrases