Zeinab Rezaeifar

Clustering-Based Collective Anomaly Detection in IoT Systems: A Graph Neural Network Approach

This paper introduces Unsupervised Graph Collective Anomaly Detection (UGCAD), a novel frame- work designed to identify collective anomalies in IoT network traffic that leverages a variational graph autoencoder to learn the graph representation, which is subsequently used to enhance a clustering algorithm for effective...