"Machine learning-based network intrusion detection for big and imbalanced ..."

Md. Alamin Talukder et al. (2024)

> Home

Details and statistics

DOI: 10.1186/S40537-024-00886-W

access: open

type: Journal Article

metadata version: 2024-05-07

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/jbd/TalukderIUHSAM24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jbd/TalukderIUHSAM24
Md. Alamin Talukder, Md. Manowarul Islam, Md. Ashraf Uddin, Khondokar Fida Hasan, Selina Sharmin, Salem A. Alyami, Mohammad Ali Moni:
Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction. J. Big Data 11(1): 33 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.