Evaluating Machine Learning -Based Intrusion Detection in Software Defined Networks Using NSL-KDD Dataset
Khurram Zeeshan Haider, Qamas Gul Khan Safi, Muhammad Awais, Urooj Fatima, Muhammad Munwar Iqbal
- ISSN / E-ISSN
- 2710-1606 / 2710-1614
- DOI
- —
- Volume · Issue · Pages
- 9 · 02 · —
- Publisher
- Journal of Computing & Biomedical Informatics
- Article URL
- https://jcbi.org/index.php/Main/article/view/1075 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
01 Sep 2025
Publisher publication date · source: Journal websites (OAI-PMH feeds of Open Journal Systems)
| Type | Date | Source |
|---|---|---|
| Publisher publication date | 01 Sep 2025 | Journal websites (OAI-PMH feeds of Open Journal Systems) |
Keywords (as given): Software-Defined Networks (SDN); Machine Learning; Intrusion Detection; SVM; Decision Tree
HEC Status at Publication Not the journal's current status
HEC Status at PublicationConclusive
HEC status at publication
Recognized
Y
Based on the recorded HEC dataset applicable to the article's publication date. Listed as Y in the HEC list for 2024–25.
- Journal
- Journal of computing & biomedical informatics (Online)
- Publication date used
- 01 Sep 2025 (Publisher publication date)
- Applicable HEC period
- 2024–25 (version 1) · 01 Oct 2024 – 31 Mar 2026
- Category
- Y
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- List of national journals 2024-25 page 73, row 694
- Verification status
- Verified against source · last verified 23 Sep 2026
Informational only. HJRS.com.pk is independent and is not an official HEC website: confirm with the source document.