Spectrum Anomaly Detection for Optical Network Monitoring using Deep Unsupervised Learning
Journal article, 2021
constellation diagram
anomaly detection
Deep unsupervised learning
autoencoder
optical network monitoring
Author
Carlos Natalino Da Silva
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Aleksejs Udalcovs
RISE Research Institutes of Sweden
Lena Wosinska
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Oskars Ozolins
RISE Research Institutes of Sweden
Marija Furdek Prekratic
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
IEEE Communications Letters
1089-7798 (ISSN)
Vol. 25 5 1583-1586 9336677Safeguarding optical communication networks from cyber-security attacks
Swedish Research Council (VR) (2019-05008), 2020-01-01 -- 2023-12-31.
Areas of Advance
Information and Communication Technology
Subject Categories
Telecommunications
Communication Systems
Signal Processing
DOI
10.1109/LCOMM.2021.3055064
Related datasets
CONSTELLATION DIAGRAMS FOR SPECTRUM ANOMALY DETECTION IN OPTICAL NETWORKS [dataset]
DOI: 10.21227/g9s9-ba02 URI: https://ieee-dataport.org/open-access/constellation-diagrams-spectrum-anomaly-detection-optical-networks