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,

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

More information

Latest update

1/10/2024