Topological Botnet Detection

<p>Large-scale topological botnet detection datasets for graph machine learning&nbsp;and network security, containing 4 different types of synthetic botnet topologies and 2 different real botnet topologies overlaid onto large real-world&nbsp;background traffic communication networks.</p> <p>Each dataset contains a specific botnet topology, with 960 graphs in total, randomly split to train/val/test sets.&nbsp;There are labels on both nodes and edges indicating whether they were in the botnet (evil) community. Learning tasks could target at predicting on&nbsp;nodes&nbsp;to detect whether they are botnet nodes, or recovering the whole botnet community by also predicting on edges as whether they belong to the original botnet.</p> <p>There are no unique features on nodes or edges, as the detection is purely based on topological properties within the graph (topological discovery).</p> <p>&nbsp;</p>