Feature-Level Reconstructed Dataset for Detection of Obfuscated Malicious JavaScript Code
Published: 14 January 2026| Version 1 | DOI: 10.17632/nshmrbbzmb.1
Contributor:
Naimish SojitraDescription
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.
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Categories
Machine Learning, Malware Mitigation, Static Program Analysis