Published March 6, 2022 | Version v1
Conference paper Open

Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks

Creators

  • 1. Chalmers University of Technology
  • 2. Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)

Description

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.

Files

_OFC2022_TeraFlow__Unsupervised_learning_for_anomaly_detection.pdf

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Additional details

Funding

European Commission
TeraFlow – Secured autonomic traffic management for a Tera of SDN flows 101015857