Self-taught anomaly detection with hybrid unsupervised/supervised machine learning in optical networks
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 …
proposed framework makes use of a hybrid unsupervised and supervised machine learning …
Anomaly prediction with hybrid supervised/unsupervised deep learning for elastic optical networks: a multi-index correlative approach
With the emergence of new services, the complex optical network environment makes it
more difficult to predict network anomalies. This paper proposes a multi-index anomaly …
more difficult to predict network anomalies. This paper proposes a multi-index anomaly …
Using machine learning in communication networks
D Côté - Journal of Optical Communications and Networking, 2018 - opg.optica.org
In this paper, we first review how the main machine learning concepts can apply to
communication networks. Then we present results from a concrete application using …
communication networks. Then we present results from a concrete application using …
Machine-learning-based anomaly detection in optical fiber monitoring
K Abdelli, JY Cho, F Azendorf, H Griesser… - Journal of optical …, 2022 - opg.optica.org
Secure and reliable data communication in optical networks is critical for high-speed
Internet. However, optical fibers, serving as the data transmission medium providing …
Internet. However, optical fibers, serving as the data transmission medium providing …
Automating optical network fault management with machine learning
Effective fault management is essential for quality of service assurance in optical networks.
Conventional fault management designs for optical networks mainly rely on threshold-based …
Conventional fault management designs for optical networks mainly rely on threshold-based …
Machine learning for optical network security monitoring: A practical perspective
In order to accomplish cost-efficient management of complex optical communication
networks, operators are seeking automation of network diagnosis and management by …
networks, operators are seeking automation of network diagnosis and management by …
[PDF][PDF] Deep Semisupervised Learning-Based Network Anomaly Detection in Heterogeneous Information Systems.
N Lutsiv, T Maksymyuk, M Beshley… - … Materials & Continua, 2022 - cdn.techscience.cn
The extensive proliferation of modern information services and ubiquitous digitization of
society have raised cybersecurity challenges to new levels. With the massive number of …
society have raised cybersecurity challenges to new levels. With the massive number of …
Optical network security management: requirements, architecture, and efficient machine learning models for detection of evolving threats
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 …
need to function in a secure and agile way. Thus, cognitive and automated security …
Machine-learning-based soft-failure detection and identification in optical networks
Machine-Learning-Based Soft-Failure Detection and Identification in Optical Networks Page 1
M3A.5.pdf OFC 2018 © OSA 2018 Machine-Learning-Based Soft-Failure Detection and …
M3A.5.pdf OFC 2018 © OSA 2018 Machine-Learning-Based Soft-Failure Detection and …
Demonstration of ML-assisted soft-failure localization based on network digital twins
In optical transport networks, failure localization is usually triggered as a response to alarms
and significant anomalous behaviors. However, the recent evolution of network control and …
and significant anomalous behaviors. However, the recent evolution of network control and …