Anatomy of threats to the internet of things

I Makhdoom, M Abolhasan, J Lipman… - … surveys & tutorials, 2018 - ieeexplore.ieee.org
The world is resorting to the Internet of Things (IoT) for ease of control and monitoring of
smart devices. The ubiquitous use of IoT ranges from industrial control systems (ICS) to e …

A survey of reconfigurable optical networks

MN Hall, KT Foerster, S Schmid, R Durairajan - Optical Switching and …, 2021 - Elsevier
Reconfigurable optical networks have emerged as a promising technology to efficiently
serve the fast-growing traffic produced by the digital society. This paper provides a survey of …

[图书][B] Optical network design and planning

JM Simmons - 2014 - books.google.com
This book takes a pragmatic approach to deploying state-of-the-art optical networking
equipment in metro-core and backbone networks. The book is oriented towards practical …

Soft failure localization during commissioning testing and lightpath operation

AP Vela, B Shariati, M Ruiz, F Cugini… - Journal of Optical …, 2018 - opg.optica.org
In elastic optical networks (EONs), effective soft failure localization is of paramount
importance to early detection of service level agreement violations while anticipating …

Learning from the optical spectrum: failure detection and identification

B Shariati, M Ruiz, J Comellas… - Journal of Lightwave …, 2019 - opg.optica.org
The availability of coarse-resolution cost-effective optical spectrum analyzers (OSAs) allows
their widespread deployment in operators' networks. In this paper, we explore several …

Self-taught anomaly detection with hybrid unsupervised/supervised machine learning in optical networks

X Chen, B Li, R Proietti, Z Zhu… - Journal of Lightwave …, 2019 - ieeexplore.ieee.org
This paper proposes a self-taught anomaly detection framework for optical networks. The
proposed framework makes use of a hybrid unsupervised and supervised machine learning …

Fiber-longitudinal anomaly position identification over multi-span transmission link out of receiver-end signals

T Tanimura, S Yoshida, K Tajima, S Oda… - Journal of Lightwave …, 2020 - opg.optica.org
We have developed a fiber-longitudinal monitor that visualizes distance-wise optical power
throughout the entire multi-span link by using the signal waveform obtained by a coherent …

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 …

Leveraging statistical machine learning to address failure localization in optical networks

T Panayiotou, SP Chatzis… - Journal of Optical …, 2018 - ieeexplore.ieee.org
In this work we consider the problem of fault localization in transparent optical networks. We
attempt to localize single-link failures by utilizing statistical machine learning techniques …

A new approach to optical networks security: Attack-aware routing and wavelength assignment

N Skorin-Kapov, J Chen… - IEEE/ACM transactions on …, 2009 - ieeexplore.ieee.org
Security issues and attack management in transparent wavelength division multiplexing
(WDM) optical networks have become of prime importance to network operators due to the …