![[ECW2022] Etienne DECOSSIN, Responsable du programme Tech de l’information – Simulation avancée, EDF R&D, & Youssef LAAROUCHI, Cybersecurity Project Manager, EDF, speak about “Energy and CyberCNI – the role of the collaboration for EDF”](https://cybercni.fr/wp-content/uploads/2022/11/ECW2022-EDF-RD-1024x576.jpg)
As part of the CyberCNI Chair session at the ECW 2022, Etienne DECOSSIN, Responsable du programme Tech de l’information – Simulation avancée, EDF R&D, & Youssef LAAROUCHI, Cybersecurity Project Manager, EDF, speak about “Energy and CyberCNI – the role of the collaboration for EDF”
The chair Cybersecurity for Critical Networked Infrastructures (cyberCNI) is organizing a session at the European Cyber Week (ECW) in Rennes. On Wednesday, Nov 16, 2022 from 9h30am to 12h00pm there will be a rich program. Join on-site in Rennes and online via the links below. Please share the info!
![[RU1/22] Keynote Youssef LAAROUCHI (EDF), “Nouveaux enjeux Cyber pour EDF”](https://cybercni.fr/wp-content/uploads/2022/05/RU122-Keynote-Youssef-LAAROUCHI-Chef-de-projet-en-cyberscurit-chez-EDF-RD.jpg)
On the research update spring 2022, our partner Youssef LAAROUCHI (EDF), “Nouveaux enjeux Cyber pour EDF”. Take a look at the video!
At the “Rendez-vous de la Recherche et de l’Enseignement de la Sécurité des Systèmes d’Information” (RESSI) 2022, our chairholder Marc-Oliver Pahl presented the chair with a focus on the currently starting third phase.
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.
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:
Julius BÜNGER, Keeping software in massive IoT installations up-to-date
Julius’s thesis will provide solutions to ease the IoT device recycling. An object may become unusable for several reasons, for example a hardware failure, no more energy from the battery or obsolete functions. In that case, it is important to decommission the device, and recycle it. One solution for recycling is to re-use the object in a different application or deployment, if it embeds the necessary functions. It can also be disassembled and its parts can be sent to different recycling industry. In order to make this possible, we need to address the issues of localization, keep-alive,classification and security.
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.
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