Feature-Level Reconstructed Dataset for Detection of Obfuscated Malicious JavaScript Code
Abstract
This dataset provides feature-level representations extracted from JavaScript files for the purpose of replicating an existing static machine learning-based malware detection methodology. The dataset was reconstructed following the experimental specifications of the referenced base research paper "Detection of Obfuscated Malicious JavaScript Code, Author et Ammar Alazab, Ansam Khraisat, Moutaz Alazab and Sarabjot Singh, 2022". Raw JavaScript samples are not included. The dataset is intended solely for baseline implementation, reproducibility, and academic validation of existing approaches, and does not claim novelty.
Fields of Study & Subjects
Advanced Malware Detection Techniques
Software Engineering Research
Spam and Phishing Detection
Publication details
- Journal / source
- Mendeley Data
- Publication date
- 14 January 2026
- Document type
- Dataset