Malware and Benign Examples Dataset

该数据集包含了从VirusShare和VirusTotal收集的9,749,57个恶意软件样本和89,004个良性样本。该数据集被用于评估多种深度学习架构，在使用CNN-LSTM-3模型时，实现了99.91%的分类准确率。数据规模涵盖了恶意软件和良性样本共约9.8万个恶意软件样本和8.9万个良性样本，任务是对恶意软件进行分类。This dataset contains 97,495 malicious software samples and 89,004 benign samples collected from VirusShare and VirusTotal. It has been utilized to evaluate various deep learning architectures, achieving a classification accuracy of 99.91% when employing the CNN-LSTM-3 model. The dataset covers approximately 98,000 malicious samples and 89,000 benign samples in total, with the core task being malicious software classification.