Spotlight on Research with Marija Furdek

Abstract:

Optical networks are critical infrastructure supporting vital services and are vulnerable to different types of malicious attacks targeting service disruption at the optical layer. Due to the diverse physical-layer effects of different attack techniques and the limitations and sparse placement of optical performance monitoring devices, such attacks are difficult to detect and their signatures are unknown. However, coherent receivers with digital signal processing capabilities can provide elaborate optical monitoring data collected at the destination node of each connection, and machine learning techniques can give an unprecedented insight into the intricate relationships among the various signal parameters. 

This talk presents a machine learning framework for detection and identification of physical-layer attacks, based on experimental attack traces from an operator field-deployed testbed subjected to in-band jamming, out-of-band jamming, and polarization modulation attacks with varying intensities. We evaluate different ML techniques in terms of their accuracy, robustness to missing features, and scalability in processing experimental data. We discuss the performance and suitability of supervised, unsupervised and semi-supervised learning techniques, as well as their embedding into the network service lifecycle. We also investigate challenges related to the integration of these techniques in real-life network management systems.
 

About the speaker:

Dr. Furdek is an assistant professor at the Department of Electrical Engineering at Chalmers. She received her Docent degree in Optical Networking from KTH Royal Institute of Technology in 2017. Her research focuses on the design of high-performance networks supporting next generation services, encompassing issues related to the optical network architecture and control. Her ambition is to contribute to the development of optimized, cognitive and autonomous communication networks with a focus on physical-layer security and resilience to a wide range of faults. As (co)PI, work group/package leader and researcher, Marija has participated in several European and Swedish research projects with a wide network of collaborators from the industry and academia. 

She is the leader of the Vetenskapsrådet project ‘Safeguarding optical communication networks from cyber-security attacks’. She has co-authored more than 100 scientific publications in international journals and conferences, 5 of which received best paper awards. Marija is an editor of the IEEE/OSA Journal of Optical Communications and Networking and the Photonic Network Communications journal, and a Guest Editor of the IEEE/OSA Journal of Lightwave Technologies. She is a General Chair of the IEEE Optical Network Design and Modeling (ONDM2021). She is a Senior Member of IEEE and OSA.

Read more and register here

 

About CHAIR Spotlight on Research​​​​​​
Chalmers AI Research Center, CHAIR Spotlight on Research is a series of AI short talks hosting researchers from Chalmers. The seminars are targeted towards experts from the Chair Consortium core partners as well as other Chalmers researchers.

The aim is to increase awareness of AI at Chalmers between Chalmers researchers and AI experts in industry. In the seminars, speakers present an overview of their current research and thoughts for new research, ideas, challenges – anything they believe to be of interest for other researchers. The seminar is taking place online and is scheduled to contain 30 minutes of presentation and 15 minutes of discussion. The seminars are open to all and are free of charge. CHAIR Spotlight Research talks are taking place on Fridays 13:00-13:45.

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