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,

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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

More information

Latest update

1/3/2024 9