Experiment-based detection of service disruption attacks in optical networks using data analytics and unsupervised learning
This is the source code developed to generate the results reported in the paper: M. Furdek, C. Natalino, M. Schiano and A. Di Giglio, Experiment-based detection of service disruption attacks in optical networks using data analytics and unsupervised learning, presented at the SPIE Photonics West Conference, 2019 (preprint available here).
In this work, we adopt an experimental, data-analytic approach to explore a dataset of optical network attacks firstly presented here.
Author: Carlos Natalino (ResearchGate)
This notebook has the source code.