A labeled dataset of mobile malware traffic from real smartphones, built with nine new flow-based network traffic features. This dataset includes 1900 benign and malicious apps in 12 different families. The 400 malware apps are from two categories: adware (250), and general malware (150).
The operations of creating the AAGM dataset are divided into three phases, which you can see in below figure.
To further analyze our dataset, we employed Droidkin, a lightweight detector of the similarity of Android apps. Droidkin is used to investigate the relationships between each apps category: adware, general malware, and benign. The following figure visualizes the result of the detection analysis. The red circles represent categories, and the small black circles represent the apps that belong to those categories. Overall, there is a weak-relationship between these three categories.
To requesting the datasets, please visit following links:
|CICAndMal2017||CICAndMal2017||To be announced...|
|AAGM||AAGM||Android Adware and General Malware Dataset|