Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2022 Sweden Publisher:Optica Publishing GroupJournal:Optical Fiber Communication Conference (OFC) 2022Funded by:EC | TeraFlow

Authors: Natalino, Carlos; Manso, Carlos; Gifre, Lluis; Muñoz, Raul; Vilalta, Ricard; Furdek, Marija; Monti, Paolo;

doi: 10.1364/ofc.2022.th3d.4 , 10.5281/zenodo.7348062 , 10.5281/zenodo.7260502 , 10.5281/zenodo.7260501 , 10.5281/zenodo.7348061

Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks

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Abstract

Unsupervised learning (UL) is a technique to detect previously unseen anomalies without needing labeled datasets. We propose the integration of a scalable UL-based inference component in the monitoring loop of an SDN-controlled optical network.

Country

Sweden

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Keywords

Bioinformatics (Computational Biology), Fiber optic networks, Labeled dataset, Computer Science, Computer Engineering, Anomaly detection, Unsupervised anomaly detection

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