RoboMal Malware Detection Dataset

<p>RoboMal dataset is a collection of binary executables (ELF files) that are used to train and test machine learning models for malware detection in robotic software. All samples are labeled and the labels are provided in the CSV file. The RoboMal framework uses the RoboMal dataset to show static detection of malware for robotic software. Using the included data_reader.py file, the user can load the RoboMal dataset on any python 3.6 supported platforms. Further, the RoboMal dataset uses inherent feature analysis by an LSTM model to detect malware. The details of this framework are published in the cited work in the README.md file.</p>

RoboMal数据集是一类二进制可执行文件（ELF文件）的集合，用于训练和测试面向机器人软件的恶意软件检测机器学习模型。所有样本均已完成标注，标注信息存储于CSV文件中。RoboMal框架依托该数据集，实现针对机器人软件的恶意软件静态检测演示。借助随附的data_reader.py脚本，用户可在任意支持Python 3.6的平台上加载该数据集。此外，该数据集结合长短期记忆网络（LSTM）的固有特征分析能力完成恶意软件检测。本框架的详细细节已发表于README.md文件中引用的相关研究成果内。