Chaire Cyber CNI

Chaire Cyber CNI – Cybersecurity for Critical Networked Infrastructures

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!

[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”

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”

Join our CyberCNI session at the European Cyber Week on Nov 16, 2022

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!

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.

Chaire CyberCNI @EDF Paris (21.9.2021) – Julius BÜNGER, Keeping software in massive IoT installations up-to-date

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.

Chaire CyberCNI @EDF Paris (21.9.2021) – Awaleh HOUSSEIN MERANEH, Automated learning and handling of Cyber-Physical Attacks

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.

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