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Hi, I’m Léo

I’m a doctoral researcher at the chair Cyber CNI supported by IMT Atlantique. Before that, I received an engineering degree in information security from ENSIBS and worked at Orange Cyberdefense as a part-time employee for three years.

Research Interests

My research focuses on the collaboration in security systems, and how to share data without compromising security. I rely on topics like federated machine learning, intrusion detection, and collaborative knowledge sharing. With the chair and its test bed, I work on building a distributed observatory for attack detection, characterization, and mitigation.

Publications

Journals and International Conferences

  1. L. Lavaur, M. -O. Pahl, Y. Busnel and F. Autrel, “The Evolution of Federated Learning-based Intrusion Detection and Mitigation: a Survey,” in IEEE Transactions on Network and Service Management (TNSM), 2022, doi: 10.1109/TNSM.2022.3177512.

National and local venues

  1. L. Lavaur, M. -O. Pahl, Y. Busnel, and F. Autrel, “Federated security approaches for IT and OT,” in SSLR 2021 - Journée thématique du GT sur la Sécurité des Systèmes, Logiciels et Réseaux, 2021, hal: hal-03528355.
  2. L. Lavaur, M. -O. Pahl, Y. Busnel, and F. Autrel, “Federated Approaches for Defending Cyberattacks,” in Colloque gestion de crise et numérique : nouvelles menaces et nouvelles solutions, 2022, p. 17 (poster), doi: 10.5281/zenodo.6594420.
  3. L. Lavaur, M. -O. Pahl, Y. Busnel, and F. Autrel, “L’Apprentissage Automatique Fédéré pour la Détection et l’Atténuation des Intrusions : Résumé Étendu,” in 29th Computer & Electronics Security Application Rendezvous: Ensuring Trust in a Decentralized World (C&ESAR 2022), 2022, submitted
  4. L. Lavaur, B. Costé, M. -O. Pahl, Y. Busnel, and F. Autrel, “Federated learning as enabler for collaboration between not fully-trusting distributed parties,” in 29th Computer & Electronics Security Application Rendezvous: Ensuring Trust in a Decentralized World (C&ESAR 2022), 2022, submitted

As co-author

  1. A. Houssein Meraneh, M. -O. Pahl, H. Le Bouder, and L. Lavaur, “Sound-based anomaly detection for industrial control systems: a survey,” in IEEE TNSM special issue on Machine Learning and Artificial Intelligence for Managing Networks, Systems, and Services, under review.

Teaching

Tutorials

Medias

Radio