A trainign sequence for students dedicated to the recycling of electronic and electric waste

Researchers from all fields are invited to submit proposals highlighting their latest advances in tools, methodologies, and demonstrators related to this topic.

As part of the Nanoelec project, CEA-Leti has developed the eArgos solution, which enhances the cybersecurity of embedded systems for so-called critical applications by analysing their behaviour. This software solution collects internal signals from the connected device at the hardware level (processor, memory, etc.), the operating system, applications and business data. This data is then fed into an AI system that detects any deviation from expected behaviour.

A blockchain-based alert system in the event of tampering with an embedded neural network in a multi-agent context

An intrusion into the operational network of a production site has the potential to cause significant disruption, impacting productivity, reliability, and quality. The presence of embedded neural networks (NNs), such as classifiers, in physical devices opens the door to new attack vectors, while the Artificial Intelligence Act requires the NN’s behavior to be explainable.