Feature-Level Reconstructed Dataset for Detection of Obfuscated Malicious JavaScript Code

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.本数据集提供从JavaScript文件中提取的特征级表征，旨在复现现有的基于静态机器学习的恶意软件检测方法。本数据集依据参考文献"Detection of Obfuscated Malicious JavaScript Code"（作者：Ammar Alazab、Ansam Khraisat、Moutaz Alazab及Sarabjot Singh，2022年）的实验规范完成重构。原始JavaScript样本未包含于本数据集内。本数据集仅用于现有方法的基线实现、可复现性验证与学术性校验，不具备创新性。