Experiment-based detection of service disruption attacks in optical networks using data analytics and unsupervised learning

1 code implementation • SPIE OPTO 2019 • Marija Furdek, Carlos Natalino, Marco Schiano and Andrea Di Giglio

The paper addresses the detection of malicious attacks targeting service disruption at the optical layer as a key prerequisite for fast and effective attack response and network recovery.

Anomaly Detection Clustering