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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