Chaire Cyber CNI

Chaire Cyber CNI – Cybersecurity for Critical Networked Infrastructures

La cybersécurité concerne chacun d’entre nous – toujours et partout

I was giving a speech on the need for cybersecurity and strong investments in cybersecurity as basis for our modern society on June 10, 2021.

I was invited at the signage event of the German-French Academy for the industry of the future regarding the signing of the partnership with Airbus and ArianeGroup. The event took place at the Ministry of Economy and relance of and with Bruno Le Maire.

Wed, Jun 30, 2021, 17 CET I Michel Barbeau (Carleton University, CA) – Quantum Safe and Safe Quantum Data communications

On Jun 30, 2021 at 5pm CET, Michel Barbeau, Professor and Director of the Computer Science Department at Carleton University, Canada) will talk about “Quantum Safe and Safe Quantum Data communications”. 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/.

Wed, Jun 16, 2021, 17 CET I Pontus Johnson (KTH) – Mutter aller Sicherheitslücken: Arbitrary Code Execution in the Universal Turing Machine

On Jun 16, 2021, 17h CET, Pontus Johnson, Professor at KTH Royal Institute of Technology, Sweden, will give a talk on “Mutter aller Sicherheitslücken: Arbitrary Code Execution in the Universal Turing Machine”.

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/2021-06-16 with your interested friends!

Crowdsourced AI-Supported IoT Data-Modeling (IM2021)

Our IM 2021 paper “Crowdsourced AI-Supported IoT Data-Modeling” shows how Artificial Intelligence can help unifying IoT data models during creation. The solution consists of an open repository, an Eclipse-based editor frontend, syntax and semantics validation, and machine-learning supported tagging and completion of data models.

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