Optical network security management: requirements, architecture, and efficient machine learning models for detection of evolving threats

M Furdek, C Natalino, A Di Giglio… - Journal of Optical …, 2021 - opg.optica.org
As the communication infrastructure that sustains critical societal services, optical networks
need to function in a secure and agile way. Thus, cognitive and automated security …

Machine learning for optical network security monitoring: A practical perspective

M Furdek, C Natalino, F Lipp, D Hock… - Journal of Lightwave …, 2020 - opg.optica.org
In order to accomplish cost-efficient management of complex optical communication
networks, operators are seeking automation of network diagnosis and management by …

Flexible and scalable ML-based diagnosis module for optical networks: a security use case

C Natalino, L Gifre, FJ Moreno-Muro… - Journal of Optical …, 2023 - opg.optica.org
To support the pervasive digital evolution, optical network infrastructures must be able to
quickly and effectively adapt to changes arising from traffic dynamicity or external factors …

Experimental study of machine-learning-based detection and identification of physical-layer attacks in optical networks

C Natalino, M Schiano, A Di Giglio… - Journal of Lightwave …, 2019 - ieeexplore.ieee.org
Optical networks are critical infrastructure supporting vital services and are vulnerable to
different types of malicious attacks targeting service disruption at the optical layer. Due to the …

[图书][B] Next generation intelligent optical networks: from access to backbone

S Kartalopoulos - 2007 - books.google.com
Optical networks have been in commercial deployment since the early 1980s as a result of
advances in optical, photonic, and material technologies. Although the initial deployment …

Machine learning for network automation: overview, architecture, and applications [Invited Tutorial]

D Rafique, L Velasco - Journal of Optical Communications and …, 2018 - ieeexplore.ieee.org
Networks are complex interacting systems involving cloud operations, core and metro
transport, and mobile connectivity all the way to video streaming and similar user …

Optical spectrum feature analysis and recognition for optical network security with machine learning

Y Li, N Hua, J Li, Z Zhong, S Li, C Zhao, X Xue… - Optics express, 2019 - opg.optica.org
Physical layer attacks threaten services transmitted through optical networks. To detect
attacks, we present an investigation of optical spectrum feature analysis (OSFA) and …

Field demonstration of machine-learning-aided detection and identification of jamming attacks in optical networks

C Natalino, M Schiano, A Di Giglio… - 2018 European …, 2018 - ieeexplore.ieee.org
We develop a machine-learning-aided framework for detection and identification of optical
network jamming signal attacks of varying intensities. Trained with data gathered in our field …

Physical-layer security in evolving optical networks

N Skorin-Kapov, M Furdek, S Zsigmond… - IEEE …, 2016 - ieeexplore.ieee.org
We are witnessing the evolution of optical networks toward highly heterogeneous, flexible
networks with a widening area of application. As the bandwidth and reliability performance …

Machine learning for intelligent optical networks: A comprehensive survey

R Gu, Z Yang, Y Ji - Journal of Network and Computer Applications, 2020 - Elsevier
With the rapid development of Internet and communication systems, both in the aspect of
services and technologies, communication networks have been suffering increasing …