Machine Learning for Optical Network Security Management
Paper in proceeding, 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, Antennas and Optical Networks
Carlos Natalino Da Silva
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Conference on Optical Fiber Communication, Technical Digest Series
Vol. Part F174-OFC 2020
978-194358071-2 (ISBN)
Optical Fiber Communication Conference & Exhibition (OFC)
San Diego, USA,
San Diego, USA,
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
Communication Systems
Information Science
Computer Systems
ISBN
9781943580712