Cluster-based Method for Eavesdropping Identification and Localization in Optical Links
, 2023 We propose a cluster-based method to detect and locate eavesdropping events in optical line systems characterized by small power losses. Our findings indicate that detecting such subtle losses from eavesdropping can be accomplished solely through optical
Cugini, Filippo +6 more
core
Intelligent optical performance monitor using multi-task learning based artificial neural network
, 2018 An intelligent optical performance monitor using multi-task learning based artificial neural network (MTL-ANN) is designed for simultaneous OSNR monitoring and modulation format identification (MFI).
Shu, * Liang +5 more
core +1 more source
An Overview on Application of Machine Learning Techniques in Optical Networks [PDF]
, 2018 Today's telecommunication networks have become sources of enormous amounts of widely heterogeneous data. This information can be retrieved from network traffic traces, network alarms, signal quality indicators, users' behavioral data, etc.
Macaluso, Irene +6 more
core +2 more sources
Root Cause Analysis for Autonomous Optical Network Security Management [PDF]
, 2022 The ongoing evolution of optical networks towards autonomous systems supporting high-performance services beyond 5G requires advanced functionalities for automated security management.
Di Giglio, Andrea +3 more
core +1 more source
A highly stable atomic vector magnetometer based on free spin precession
, 2015 We present a magnetometer based on optically pumped Cs atoms that measures the magnitude and direction of a 1 $\mu$T magnetic field. Multiple circularly polarized laser beams were used to probe the free spin precession of the Cs atoms.
Afach, S. +33 more
core +3 more sources
Controlling single-photon detector ID210 with bright light
, 2019 We experimentally demonstrate that a single-photon detector ID210 commercially available from ID Quantique is vulnerable to blinding and can be fully controlled by bright illumination.
Chistiakov, Vladimir +3 more
core +1 more source
Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks [PDF]
, 2022 Unsupervised learning (UL) is a technique to detect previously unseen anomalies without needing labeled datasets. We propose the integration of a scalable UL-based inference component in the monitoring loop of an SDN-controlled optical ...
Furdek Prekratic, Marija +6 more
core +1 more source
Sensitivity of double resonance alignment magnetometers [PDF]
, 2007 We present an experimental study of the intrinsic magnetometric sensitivity of an optical/rf-frequency double resonance magnetometer in which linearly polarized laser light is used in the optical pumping and detection processes.
A. Abragam +11 more
core +2 more sources
Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems [PDF]
, 2022 Error vector magnitude (EVM) is a metric for assessing the quality of m-ary quadrature amplitude modulation (mQAM) signals. Recently proposed deep learning techniques, e.g., feedforward neural networks (FFNNs) -based EVM estimation scheme leverage fast ...
Bobrovs, V. +11 more
core +1 more source
DGD monitoring issues in high-speedpolarisation multiplexed coherent QPSKsystems [PDF]
, 2012 Optical performance monitoring based on digital signal processing (DSP) of a polarisation diverse coherent receiver can allow the estimation of the differential group delay (DGD) of the link fibre.
A. Peracchi +6 more
core +1 more source