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Field Demonstration of Machine-Learning-Aided Detection and Identification of Jamming Attacks in Optical Networks

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Control plane robustness in software-defined optical networks under targeted fiber cuts., , , , and . ONDM, page 118-123. IEEE, (2018)A quality of experience handover architecture for heterogeneous mobile wireless multimedia networks., , , , , and . IEEE Commun. Mag., (2013)Impact of High-Power Jamming Attacks on SDM Networks, , , and . (2018)Machine Learning Methods for Slice Admission in 5G Networks., , , and . OECC/PSC, page 1-3. IEEE, (2019)Minimum Cost Design of Cellular Networks in Rural Areas With UAVs, Optical Rings, Solar Panels, and Batteries., , , , , , and . TGCN, 3 (4): 901-918 (2019)Network-Wide Localization of Optical-Layer Attacks., , , and . ONDM, volume 11616 of Lecture Notes in Computer Science, page 310-322. Springer, (2019)Field Demonstration of Machine-Learning-Aided Detection and Identification of Jamming Attacks in Optical Networks, , , , and . (2018)Experiment-based identification of service disruption attacks in optical networks, , , and . (February 2019)Link addition framework for optical CDNs robust to targeted link cut attacks., , , and . RNDM, page 1-7. IEEE, (2017)Machine Learning for Optical Network Security Management., and . OFC, page 1-3. IEEE, (2020)