Multi-scale Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for unsupervised intrusion detection

Yang Chen, Nami Ashizawa, Chai Kiat Yeo, Naoto Yanai, Seanglidet Yean

Abstract: Highlights•This study proposes SOM-DAGMM for unsupervised intrusion detection.•This study further designs multi-scale SOM-DAGMMs to involve more SOM features.•The proposed SOM-DAGMMs are able to better preserve the input space topology.•This study designs and conducts extensive experiments to fully evaluate the performance of SOM-DAGMMs.