Machine Learning for Cognitive Optical Network Security Management

Marija Furdek; Carlos Natalino

doi:10.1364/NETWORKS.2020.NeW1B.3

OSA Advanced Photonics Congress (AP) 2020 (IPR, NP, NOMA, Networks, PVLED, PSC, SPPCom, SOF)
OSA Technical Digest (Optica Publishing Group, 2020),
paper NeW1B.3
•https://doi.org/10.1364/NETWORKS.2020.NeW1B.3

Machine Learning for Cognitive Optical Network Security Management

Marija Furdek and Carlos Natalino

Photonic Networks and Devices 2020

Washington, DC United States
13–16 July 2020
ISBN: 978-1-943580-79-8

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Machine Learning for Optical Networks II (NeW1B)

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M. Furdek and C. Natalino, "Machine Learning for Cognitive Optical Network Security Management," in OSA Advanced Photonics Congress (AP) 2020 (IPR, NP, NOMA, Networks, PVLED, PSC, SPPCom, SOF), L. Caspani, A. Tauke-Pedretti, F. Leo, and B. Yang, eds., OSA Technical Digest (Optica Publishing Group, 2020), paper NeW1B.3.

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Abstract

This talk surveys the security threats pertinent to the optical network and outlines the progress and challenges in developing machine learning approaches for cognitive management of optical network security.

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