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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Mining graph-Fourier transform time series for anomaly detection of Internet traffic at core and metro networks

Lookup NU author(s): Dr Manuel HerreraORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Publication metadata

Author(s): Herrera M, Proselkov Y, Perez-Hernandez M, Parlikad AK

Publication type: Article

Publication status: Published

Journal: IEEE Access

Year: 2021

Volume: 9

Pages: 8997-9011

Online publication date: 08/01/2021

Acceptance date: 02/01/2021

Date deposited: 26/02/2025

ISSN (electronic): 2169-3536

Publisher: IEEE

URL: https://doi.org/10.1109/ACCESS.2021.3050014

DOI: 10.1109/ACCESS.2021.3050014


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