Share and like: On Jan 25, 2021, 5pm CET I Carol Fung (Virginia Commonwealth University, US), will talk about “Security and Privacy Protection for IoT Networks“. Watch the trailer here.
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/2022-01 with your interested friends!
The chair is also active in teaching. The final year student project “Autoprotection : éthique VS agents autonomes et algorithmes” looks at an important aspect of our technology-dependent world: ethical aspects of autonomous functionality. Good examples are self-driving / autonomous cars, building automation, or production sites. Maintaining and increasing cybersecurity are a key goals for autonomous functionality. Enjoy the video of the intermediate presentation with the current results! (in French)
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.
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.
On Dec 13, 2021, we had the pleasure to welcome the Member of Parliament Florian Bachelier and a high decorated delegation from Airbus Cybersecurity, consisting of Nicolas Razy, Head of Defence and Strategic Programmes France, Serge Maurice, Directeur des relations opérationnelles et Défense, Eric CHAMBAREAU, Directeur Engineering France & CyberEntrainement chez Airbus CyberSecurity, Laureline Kiss, HR Business Partner chez Airbus CyberSecurity, Frédéric Dubois, Head of Rennes Airbus Cybersecurity offices.
