Mal Netminer Dataset

The Mal-Netminer dataset consists of malware samples and their corresponding system call graphs used to analyze behavioral patterns through social network analysis (SNA). The dataset was developed as part of the Mal-Netminer framework, which classifies malware by extracting topological properties from system call graphs rather than relying on traditional signature or frequency-based approaches.To build the dataset, system call sequences were collected from malware using dynamic analysis tools, then transformed into directed graphs where nodes represent system calls and edges represent execution order. From these graphs, SNA metrics\u2014including degree distribution, in\/out-degree centrality, weighted degree measures, and average distance\u2014were extracted.