Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks
Paper in proceeding, 2022
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.
Author
Carlos Natalino Da Silva
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Carlos Manso
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Lluis Gifre
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Raul Munoz
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Ricard Vilalta
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)
Marija Furdek Prekratic
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Paolo Monti
Chalmers, Electrical Engineering
2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings
Th3D.4
9781557524669 (ISBN)
2022 Optical Fiber Communications Conference and Exhibition, OFC 2022
San Diego, USA,
San Diego, USA,
Safeguarding optical communication networks from cyber-security attacks
Swedish Research Council (VR) (2019-05008), 2020-01-01 -- 2023-12-31.
Secured autonomic traffic management for a Tera of SDN flows (TeraFlow)
European Commission (EC) (EC/H2020/101015857), 2021-01-01 -- 2023-06-30.
Subject Categories
Computer Engineering
Bioinformatics (Computational Biology)
Computer Science
DOI
10.1364/OFC.2022.Th3D.4