Real-time Detection of Anthropic Events by 10G Channels in Metro Network Segments
Stefano Straullu, Francesco Aquilino, Rudi Bratovich, Fransisco M. Rodriguez, Andrea D’Amico, Emanuele Virgillito, Rosanna Pastorelli, Vittorio Curri
Abstract
We present an experimental proof-of-concept on detecting SOP variations including information on mechanical stresses on the network footprint by tapping out a small amount of power from 10G channels. Data can be gathered and classified locally, in each node, delivering alerts through streaming telemetry © 2022 The Author(s)
Topics & Concepts
FootprintComputer scienceTelemetryNode (physics)Computer networkPower (physics)Real-time computingTelecommunicationsEngineeringGeologyPhysicsStructural engineeringQuantum mechanicsPaleontologyAnomaly Detection Techniques and ApplicationsAdvanced Fiber Optic SensorsWireless Signal Modulation Classification