Chaire Cyber CNI

Chaire Cyber CNI – Cybersecurity for Critical Networked Infrastructures

We won the NOMS 2023 Best Demo Award!

Our paper “Distributed Device-Specific Anomaly Detection for Resource-Constrained Devices” by Christian Lübben and Marc-Oliver Pahl won the NOMS 2023 demo award! The demo showed how anomaly detection can be distributed on multiple devices, allowing a low latency resource-efficient detection of anomalies. It was selected out of 9 demos from different actors from industry and academia. What a great success!

Participation at the Colloque de la communauté « Risques & Cyber »

As in the past year, the chair cyberCNI.fr was well represented at the Colloque de la communauté « Risques & Cyber » : Sécurité et Résilience of Institut Mines Télécom. On April 13, 2022, Léo Lavaur and Nicolas Delcombel presented two posters to the interested audience. In addition, Anthony Lucas from our strong collaboration with the LPSS team in Brest showed his poster. Thanks a lot for the very nice discussions and the interest in our work!

Research Update 1/ 2023 EDF Palaiseau 11.4.2023

On April 11, 2023, we held our bi-yearly research update at the EDF site in Palaiseau. With almost the entire team of the chaire cyberCNI.fr present! As usual, the day was full of very nice presentations from our members, enriching discussions around our research topics, and of course open discussions around the cybersecurity. Thanks a lot to our hosts at EDF for the great hospitality, numerous expert participation, and the last but not least the very good food. We can all be proud of this wonderful day!

We won a CREACH Labs PhD thesis financing!

Our multidisciplinary team around Marc-Oliver Pahl (Professor, Chaire cyberCNI.fr, IMT Atlantique, UMR IRISA/SOTERN, Rennes), Yehya Nasser (Maitre de Conférence, IMT Atlantique/Lab-STICC/2AI, Brest, France) and Mohammed Nassar (Associate Professor, University of New Haven, Cyber-Crime Center, USA) won a prestigious CREACH LABS funding for research on a “Realtime AI-Based Power Assisted Malware Predictor”! Now we are looking for an exceptionally talented PhD student developing this project with us.

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