XG-BoT: An Explainable Deep Graph Neural Network for Botnet Detection and Forensics. (arXiv:2207.09088v2 [cs.CR] UPDATED)

In this paper, we propose XG-BoT, an explainable deep graph neural network
model for botnet node detection. The proposed model is mainly composed of a
botnet detector and an explainer for automatic forensics. The XG-BoT detector
can effectively detect malicious botnet nodes under large-scale networks.
Specifically, it utilizes a grouped reversible residual connection with a graph
isomorphism network to learn expressive node representations from the botnet
communication graphs. The explainer in XG-BoT can perform automatic network
forensics by highlighting suspicious …

bot botnet detection forensics network neural network