data.mat represents the operations of different kinds of nodes acquired from the real information system. count.mat represents that fusing data observed from monitoring nodes, sink nodes and the Inter
With the rapid development of the Internet, the continuous increase of malware and its variants have brought greatly challenges for cyber security. Due to the imbalance of the data distribution, the r
The rapid and widespread increase of Android malware presents substantial obstacles to cybersecurity research. In order to revolutionize the field of malware research, we present the MH-1M dataset, wh
The dataset consists of engineered features extracted from the metadata of software packages, designed to help identify whether a package is benign or malicious. These features capture various aspects
