Deep fused flow and topology features for botnet detection basing on pretrained GCN. (arXiv:2307.10583v3 [cs.CR] UPDATED)

Nowadays, botnets have become one of the major threats to cyber security. The
characteristics of botnets are mainly reflected in bots network behavior and
their intercommunication relationships. Existing botnet detection methods use
flow features or topology features individually, which overlook the other type
of feature. This affects model performance. In this paper, we propose a botnet
detection model which uses graph convolutional network (GCN) to deeply fuse
flow features and topology features for the first time. We construct
communication graphs …

botnet botnets bots cyber cyber security detection features flow major network relationships security threats