Chaire Cyber CNI

Chaire Cyber CNI – Cybersecurity for Critical Networked Infrastructures

Wed, may 25, 2022, 5pm CET I Julien Nocetti (Académie militaire de Saint-Cyr, Rennes School of Business, France) – Cyber-related threats & Geopolitics: Upgrading the level-playing expertise

You are cordially invited to join the free live stream on youtube and LinkedIn! To register and subscribe to the series announcements, just enter your mail address in the box on the left at https://talk.cybercni.fr/. Please share the link https://talk.cybercni.fr/19 with your interested friends!

FRI, MAY 13, 2022, 5pm CET I Moritz Flößler (EuropaNova Germany e.V., Germany) – InsTitutionalizing Cybersecurity: National Strategies and their Implications for Europe

On Fri, May 13, 2022, 5pm CET I Moritz Flößler (EuropaNova Germany e.V., Germany), will talk about “Institutionalizing Cybersecurity: National Strategies and their Implications for Europe“.

Watch the trailer here: https://youtu.be/7fzsRQgmqTs?list=PLdftPKA9mTfaDJxqwexil2mPhUFIA9ITd

Please share the link https://talk.cybercni.fr/18 with your interested friends!

Wed, Apr 27, 2022, 5pm CET I Cora Perner (Airbus, Germany) – Security for ground and air vehicles

On Wed, Apr 27, 2022, 5pm CET I Cora Perner (Airbus, Germany), will talk about “Security for ground and air vehicles“. Watch the trailer here: https://youtu.be/u_v4cjm42qU?list=PLdftPKA9mTfaDJxqwexil2mPhUFIA9ITd Please share the link https://talk.cybercni.fr/2022-04 with your interested friends!

Cyber CNI 2021 fall Research Updates: Update of our Platform

The cyberCNI.fr (https://cyberCNI.fr/) Research Update (Spring/ Fall) happens once per semester. It is the big status event of the chair Cyber CNI. All works around the chair are presenting their progress, current works, and next challenges. In this talk, our research engineer Fabien Autrel presents how we improved our testbed based on Fischertechnik and CyberRange technologies.

Cyber CNI 2021 fall Research Updates: revue of the year 2021

The cyberCNI.fr (https://cyberCNI.fr/) Research Update (Spring/ Fall) happens once per semester. It is the big status event of the chair Cyber CNI. All works around the chair are presenting their progress, current works, and next challenges. The year 2021 was rich of activities. In this talk, our chairholder Marc-Oliver Pahl presents an overview of the most important activities of the year. The perfect possibility to catch up with the ecosystem of the chaire Cyber CNI.

Wed, Feb 23, 2022, 5pm CET I Soumya Banerjee (TRASNA) – Securing the Internet of Things: Latice-based crypto and side-channel attacks

On Feb 23, 2021, 5pm CET I Soumya Banerjee (TRASNA), will talk about “Securing the Internet of Things: Latice-based crypto and side-channel attacks“. Watch the trailer here: https://youtu.be/fPpLk3BpQjY?list=PLdftPKA9mTfaDJxqwexil2mPhUFIA9ITd

You are cordially invited to join the free live stream on youtube and LinkedIn! To register and subscribe to the series announcements, just enter your mail address in the box on the left at https://talk.cybercni.fr/. Please share the link https://talk.cybercni.fr/2022-02 with your interested friends!

Chaire CyberCNI @EDF Paris (21.9.2021) – Hassan CHAITOU, Security risk optimization for learning on heterogeneous quality data

On Sep 21, 2021, we had the pleasure to visit our partner EDF in Paris Palaiseau! Here is another highlight presentation:

Hassan CHAITOU, Security risk optimization for learning on heterogeneous quality data
A classifier is a component used in the automation of “decision-making” or complex data abstraction: intruder detection, speed limitation extraction. For an efficient classifier, the training must be on a large volume of data and be renewed over time by integrating or revoking certain learning data. From a security point of view, this process represents a risk since it offers the attacker various ways of degrading classifier performance (either by forcing classifications mischievous, either by randomly degrading its performance). These two types of attacks require more or less effort from the attacker.

This risk is exacerbated when data comes from sources (network equipment, organizations) corresponding to heterogeneous trust levels. Hassan’s thesis aims at controlling the risk associated with this update via game theory in the case where the confidence in the learning data is not homogeneous.

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