Department of EECS, University of California at Berkeley, 485 Soda Hall, Berkeley CA 94720-1776, USA Previously at: Institute for Adaptive and Neural Computation, University of Edinburgh, UK.

We propose GTAE-IDS, a novel unsupervised packet-based graph neural network framework aimed at early and precise anomaly detection in network traffic. GTAE-IDS employs graph embeddings to capture and ...

Motivated by this, a multiscale pooling attention-based graph attention network (MSPA-GAT) is proposed. First, a multi-GATv2 network is designed for the spatial dependencies modeling, and a ...