遇见数据集

Maldeb Dataset

收藏
DataCite Commons2024-03-28 更新2024-07-13 收录
官方服务:

资源简介:

Malware-benign Image representation. The Dataset were collected from several malware repositories, including TekDefense, TheZoo, The Malware-Repo, Malware Database amd Malware Bazar. The benign samples were collected from Microsoft 10 and 11 system apps and several open source software repository including CNET, Sourceforge, FileForum, PortableFreeware. The samples were validated by scanning them using Virustotal Malware scanning services. The Samples underwent preprocessing by converting the malware binary into grayscale images following rules from Nataraj (2011). Nataraj Paper: https://vision.ece.ucsb.edu/research/signal-processing-malware-analysis. Maldeb Dataset is collected by Debi Amalia Septiyani and Halimul Hakim Khairul D. A. Septiyani, “Generating Grayscale and RGB Images dataset for windows PE malware using Gist Features extaction method,” Institut Teknologi Bandung, 2022, and Dani Agung Prastiyo, "Design and implementation of a machine learning-based malware classification system with an audio signal feature Analysis Approach," Institut Teknologi Bandung, 2023. The complete dataset can be accessed on this link https://ieee-dataport.org/documents/maldeb-dataset and https://github.com/julismail/Self-Supervised

该数据集为恶意软件与良性软件图像表征数据集。其恶意软件样本采集自多个恶意软件代码仓库,包括TekDefense、TheZoo、The Malware-Repo、Malware Database以及Malware Bazar。良性样本采集自微软Windows 10与Windows 11系统应用,以及CNET、Sourceforge、FileForum、PortableFreeware等多个开源软件仓库。所有样本均通过Virustotal恶意软件扫描服务完成扫描验证。样本预处理环节遵循Nataraj(2011)提出的标准流程,将恶意软件二进制文件转换为灰度图像。Nataraj的相关研究论文链接:https://vision.ece.ucsb.edu/research/signal-processing-malware-analysis。Maldeb数据集由Debi Amalia Septiyani与Halimul Hakim Khairul D. A. Septiyani联合采集,相关研究成果为"Generating Grayscale and RGB Images dataset for Windows PE(Portable Executable) malware using Gist Features extraction method",发表于万隆理工学院,2022年;此外该数据集也收录于Dani Agung Prastiyo的研究"Design and implementation of a machine learning-based malware classification system with an audio signal feature Analysis Approach",同样发表于万隆理工学院,2023年。完整数据集可通过以下链接获取:https://ieee-dataport.org/documents/maldeb-dataset 以及 https://github.com/julismail/Self-Supervised。

创建时间:
2024-03-28
二维码
社区交流群
二维码
科研交流群
商业服务