dtrizna/QuasarNix
收藏Hugging Face2024-08-29 更新2024-12-14 收录
下载链接：
https://hf-mirror.com/datasets/dtrizna/QuasarNix
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资源简介：
该数据集来自一篇关于通过数据增强检测Linux living-off-the-land (LOTL)反向shell的论文。数据集旨在填补网络安全领域中基于行为的机器学习检测启发式方法的空白，并提供了一个框架来构建对抗性鲁棒的机器学习检测器。数据集和模型已在Hugging Face上发布，以促进网络安全领域的对抗性机器学习研究。
This dataset contains training data for machine learning models designed to detect Living-off-The-Land (LOTL) reverse shells in Linux environments. The data is generated using data augmentation techniques to enhance the adversarial robustness of the detection models. The release of this dataset aims to foster adversarial machine learning research in the field of cybersecurity.
提供机构：
dtrizna
