E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT. (arXiv:2103.16329v7 [cs.NI] UPDATED)

Web: http://arxiv.org/abs/2103.16329

This paper presents a new Network Intrusion Detection System (NIDS) based on
Graph Neural Networks (GNNs). GNNs are a relatively new sub-field of deep
neural networks, which can leverage the inherent structure of graph-based data.
Training and evaluation data for NIDSs are typically represented as flow
records, which can naturally be represented in a graph format. In this paper,
we propose E-GraphSAGE, a GNN approach that allows capturing both the edge
features of a graph as well as the topological …

detection intrusion detection iot network neural network system