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 means of Machine Learning (ML). To support these objectives, new functions are needed to enable cognitive, autonomous management of optical network security. This article focuses on the challenges related to the performance of ML-based ...