Dataset malware/beningn permissions Android
收藏ieee-dataport.org2025-03-23 收录
下载链接：
https://ieee-dataport.org/documents/dataset-malwarebeningn-permissions-android
下载链接
链接失效反馈官方服务：
资源简介：
This dataset is a result of my research production into machine learning in android security. The data was obtained by a process that consisted to map a binary vector of permissions used for each application analyzed {1=used, 0=no used}. Moreover, the samples of malware/benign were devided by "Type"; 1 malware and 0 non-malware.When I did my research, the datasets of malware and benign Android applications were not available, then I give to the community a part of my research results for the future works.If your papers or articles use our dataset, please cite our COLCOM 2016 paper as follows.Urcuqui, C., & Navarro, A. (2016, April). Machine learning classifiers for android malware analysis. In Communications and Computing (COLCOM), 2016 IEEE Colombian Conference on (pp. 1-6). IEEE.ccurcuqui@icesi.edu.co
本数据集系我对安卓安全领域机器学习的研究成果。数据通过将每个分析应用所使用的权限的二进制向量（1=使用，0=未使用）进行映射而获得。此外，恶意软件/良性软件样本根据“类型”进行划分；1表示恶意软件，0表示非恶意软件。在进行研究时，恶意软件和良性安卓应用的数据集尚未公开，因此我将我的部分研究成果贡献给学术界，以供未来研究之用。若您的论文或文章使用到我们的数据集，请按照以下格式引用我们的COLCOM 2016论文：Urcuqui, C., & Navarro, A. (2016, April). 机器学习分类器在安卓恶意软件分析中的应用. In Communications and Computing (COLCOM), 2016 IEEE哥伦比亚会议（pp. 1-6）. IEEE. ccurcuqui@icesi.edu.co
提供机构：
IEEE Dataport
