Dynamic Malware Detection Using Effective Machine Learning Models with Feature Selection Techniques
Khan, Inam Ullah, Fida Muhammad Khan, Zeeshan Ali Haider, Saba Khattak, Gulshan Naheed, Sana Shaoor Kiani
- ISSN / E-ISSN
- 2618-1630 / 2709-6130
- DOI
- 10.33411/ijist/20246314381452 ↗
- Volume · Issue · Pages
- 6 · 3 · —
- Publisher
- 50SEA
- Article URL
- https://journal.50sea.com/index.php/IJIST/article/view/990 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
16 Sep 2024
Publisher publication date · source: Journal websites (OAI-PMH feeds of Open Journal Systems)
| Type | Date | Source |
|---|---|---|
| Publisher publication date | 16 Sep 2024 | Journal websites (OAI-PMH feeds of Open Journal Systems) |
Keywords (as given): Cyber Security; Machine Learning; Cyber-Attacks; Random Forest; Decision Trees; KNN; Gaussian Naive Bayes (NB); Malicious Threats
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 2023–24.
- Journal
- International journal of innovations in science and technology (Lahore. Online)
- Publication date used
- 16 Sep 2024 (Publisher publication date)
- Applicable HEC period
- 2023–24 (version 1) · 01 Jul 2023 – 30 Sep 2024
- Category
- Y
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- HJRS 2023-24 page 6727, row 49359
- 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.