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.
On Sep 21, 2021, we had the pleasure to visit our partner EDF in Paris Palaiseau. Today, Nicolas and Anthony present their work on virtual reality for cybersecurity.
Being part of the wonderful cybersecurity ecosystem in Brittany, we visited the ENSIBS and their excellent cybersecurity crisis management exercise. We used the visit not only to get impressed but also to make contact with potential future PhDs and PostDocs at the chaire, and of course to discuss joint research and teaching. Thanks a lot for the invitation!
On Jan 25, 2022, Léo presented his thesis work on Federated Learning for defending Cyber-Attacks in a science popularization program on French radio France Culture.
Europe’s cybersecurity and cyberdefense community met in Rennes for the 6th edition of the European Cyber Week (ECW) from Nov 16-18, 2021. Together with our chairholder Marc-Oliver Pahl, Léo Lavaur, Anthony David, and Nicolas Delcombel, three of our PhD students, presented a demo on our research line covering Virtual Reality interfaces for improving human-machine communication in cybersecurity.
On Sep 21, 2021, we had the pleasure to visit our partner EDF in Paris Palaiseau. Today, Mariana present her work. In her talk, she will explain how to make control of cyber-physical systems resilent, using switched linear control system.
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.
On Sep 21, 2021, we had the pleasure to visit our partner EDF in Paris Palaiseau! Here is another highlight presentation:
Awaleh HOUSSEIN MERANEH, Automated learning and handling of Cyber-Physical Attacks
Awaleh’s study focuses on industrial control systems, which are one of the applications of cyber-physical systems. The major goal of his thesis is to use side channel leakage parameters to detect abnormalities (system failure, cyber-attacks) in industrial control systems. These leakage parameters include things like sound, power usage, electromagnetic, and so on. Review the existing sound anomaly detection methods for ICS in the literature, and to then propose our own sound anomaly detection approach.
On Sep 21, 2021, we had the pleasure to visit our partner EDF in Paris Palaiseau! Here is another highlight presentation:
Léo LAVAUR, Federated learning for defending Cyber-Attacks
In 2016, Google introduced the concept of Federated Learning (FL), enabling collaborative Machine Learning (ML). FL does not share local data but ML models, offering applications in diverse domains, including cybersecurity. Léo explains how FL has been studied to overcome challenges of collaborative intrusion detection and mitigation systems. His current research focuses on applying these concepts to specific use cases, such as smart factories, autonomous vehicles, or smart healthcare.
On Sep 21, 2021, we had the pleasure to visit our partner EDF in Paris Palaiseau. Our director, Marc-Oliver Pahl, opened the event from the side of the chair cyberCNI.fr. He presented the strategy and vision of the chaire, the ongoing works, and the activities that had happened throughout the year.
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