Machine Learning for Optical Network Security Management
Paper in proceedings, 2020

We discuss the role of supervised, unsupervised and semi-supervised learning techniques in identification of optical network security breaches. The applicability, performance and challenges related to practical deployment of these techniques are examined.

Author

Marija Furdek Prekratic

Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks

Carlos Natalino Da Silva

Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks

Conference on Optical Fiber Communication, Technical Digest Series

Optical Fiber Communication Conference & Exhibition (OFC)
San Diego, USA,

Safeguarding optical communication networks from cyber-security attacks

Swedish Research Council (VR), 2020-01-01 -- 2023-12-31.

Areas of Advance

Information and Communication Technology

Subject Categories

Communication Systems

Information Science

Computer Systems

ISBN

9781943580712

More information

Latest update

6/16/2020