The dataset used for the paper title “An Effective Detection of Mobile Malware Behavior
based on Explainable Deep Neural Network” contains two classes, benign and malicious. The
benign and malicious categories contain 99147,31857 instances, respectively. The dataset contains
nine feature attributes, each of which has an integer data type. These nine feature attributes
represent the first nine packet sizes of a network flow. In addition, the dataset is stored
in a file in CSV format, and the last column represents the class label.
We are happy to share our dataset. However, in order to prevent any misuse.
We kindly ask you to send us a mail to czx@ujn.edu.cn or loci.ujn@gmail.com stating your identity
and research scope. We will then send you the download link.
