Demonstration of Machine-Learning-Assisted Security Monitoring in Optical Networks
Paper i proceeding, 2019

We report on the first demonstration of machine-learning-assisted detection, identification and localisation of optical-layer attacks integrated into network management system and verified on real-life experimental attack traces from a network operator testbed.

Attack detection and localisation

Optical network telemetry

Unsupervised learning

Supervised learning

Physical layer security

Författare

Marija Furdek Prekratic

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Optiska nätverk

Carlos Natalino Da Silva

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Optiska nätverk

Fabian Lipp

Infosim GmbH & Co. KG

David Hock

Infosim GmbH & Co. KG

Nieke Aerts

Infosim GmbH & Co. KG

Marco Schiano

Telecom Italia S.P.A

Andrea Di Giglio

Telecom Italia S.P.A

Lena Wosinska

Chalmers, Elektroteknik, Kommunikations- och antennsystem, Optiska nätverk

Proceedings of the 45th European Conference on Optical Communication, ECOC 2019

45th European Conference on Optical Communication, ECOC 2019
Dublin, Ireland,

Ämneskategorier

Datorteknik

Kommunikationssystem

Datorsystem

Mer information

Senast uppdaterat

2019-11-04