Autonomous Security Management in Optical Networks
Paper in proceeding, 2021
The paper describes the Optical Security Manager module and focuses on the role of Machine Learning (ML) techniques. Issues related to the accuracy, run-time complexity and interpretability of ML outputs are described and coping strategies outlined.
Author
Carlos Natalino Da Silva
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Andrea Di Giglio
Telecom Italia S.P.A
Marco Schiano
Telecom Italia S.P.A
Marija Furdek Prekratic
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings
9489575
978-194358086-6 (ISBN)
Optical Fiber Communications Conference and Exhibition (OFC)
San Francisco, CA, USA,
San Francisco, CA, USA,
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VINNOVA (2020-03506), 2021-02-01 -- 2024-01-31.
Secured autonomic traffic management for a Tera of SDN flows (TeraFlow)
European Commission (EC) (EC/H2020/101015857), 2021-01-01 -- 2023-06-30.
Safeguarding 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