Marija Furdek Prekratic
Assistant Professor at
Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks
Marija works in the research unit Optical Networks.
Source: chalmers.se
Showing 9 publications
2019
How to Survive Targeted Fiber Cuts: A Game Theoretic Approach for Resilient SDON Control Plane Design
Jing Zhu, Marija Furdek Prekratic, Carlos Natalino Da Silva et al
Proceedings of the 23rd Conference On Optical Network Design And Modelling, ONDM 2019
Paper in proceedings
2019
One-Shot Learning for Modulation Format Identification in Evolving Optical Networks
Carlos Natalino Da Silva, Aleksejs Udalcovs, Lena Wosinska et al
Optics InfoBase Conference Papers. Vol. Part F131-IPRSN 2019
Paper in proceedings
2019
Demonstration of Machine-Learning-Assisted Security Monitoring in Optical Networks
Marija Furdek Prekratic, Carlos Natalino Da Silva, Fabian Lipp et al
Proceedings of the 45th European Conference on Optical Communication, ECOC 2019
Paper in proceedings
2019
Experiment-based detection of service disruption attacks in optical networks using data analytics and unsupervised learning
Marija Furdek Prekratic, Carlos Natalino Da Silva, Marco Schiano et al
Metro and Data Center Optical Networks and Short-Reach Links II; 109460D. Vol. 10946
Paper in proceedings
2019
Guest Editorial Photonic Networks and Devices
Marija Furdek Prekratic, Nicolas K. Fontaine, Werner Klaus et al
Journal of Lightwave Technology. Vol. 37 (16), p. 3872-3874
Introductory text in journal
2019
Optical Transport Network Design for 5G Fixed Wireless Access
Chathurika Ranaweera, Paolo Monti, Bjorn Skubic et al
Journal of Lightwave Technology. Vol. 37 (16), p. 3893-3901
Journal article
2019
Enhancing optical network security with machine learning
Marija Furdek Prekratic, Carlos Natalino Da Silva
International Conference on Transparent Optical Networks. Vol. 2019-July
Paper in proceedings
2019
Network-wide localization of optical-layer attacks
Marija Furdek Prekratic, Vincent Chan, Carlos Natalino Da Silva et al
Paper in proceedings
2019
Experimental Study of Machine-Learning-Based Detection and Identification of Physical-Layer Attacks in Optical Networks
Carlos Natalino Da Silva, Marco Schiano, Andrea Di Giglio et al
Journal of Lightwave Technology. Vol. 37 (16), p. 4173-4182
Journal article
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