Team Leader
Guillaume Doyen (Professor IMT – Atlantique)
Permanent researchers
- Pierre Alain (Associate Professor – Université de Rennes)
- Ahmed Bouabdallah (Associate Professor – IMT Atlantique)
- Yann Busnel (Professor – IMT)
- Mohamed Aymen Chalouf (Associate Professor – Université de Rennes)
- Gilles Guette (Professor – IMT Atlantique)
- Romaric Ludinard (Associate Professor – IMT Atlantique)
- Mohammed Nafi (Associate Professor – Université de Rennes)
- Renzo Efrain Navas (Associate Professor – IMT Atlantique)
- Marc-Oliver Pahl (Research Director – IMT Atlantique)
Permanent research engineer
- Fabien Autrel (Research engineer – IMT Atlantique)
PhD students
- Gabriel Bourgeois – Exploring Time Sensitive Networking Misconfiguration’s Impact on Cybersecurity (10/24)
- Hugo Bourreau – Enhancing Cybersecurity With Digital Twins and Artificial Intelligence (06/24)
- Mathis Durand – Real-World Detection and Mitigation of AI-Based Cyberattacks and Defence Mechanisms Using CPHoneynets (11/23)
- Yohann Morel – Automatic tracking of attackers in an IS and real-time adaptation of the system to make them reveal their TTPs (10/24)
- Do Duc Anh Nguyen – Intent-Based Attack Mitigation Through Opportunistic Synchronization of Micro-Services (01/23)
- Van Tien Nguyen – Network Intrusion Detection in Individual-Based Systems Leveraging WBAN Data (01/23)
- Dorian Pacaud – Blockchain scalability and alternatives to proof of work (10/24)
- Antoine Rebstock – APT Attacks: Extraction of Probable Scenarios by Correlation of Alerts (10/21)
- Constant Rohmer – Towards robust, reliable and high-performance self-protection for connected systems: an approach based on blockchain and microservices (10/24)
Postdoc researchers
- Elie Chedemail – Large Language Models and Disinformation
- Issam Ikhelef – 5G Network Slices Security
- Loïc Miller – Blockchain Scalability
Interns
- Daisy Munson – From Natural Language to Intent-Based Networks
Former team members
PhD students
- Léo Lavaur – Improving Intrusion Detection in Distributed Systems with Federated Learning