Table of contents

Description

Detection encompasses all techniques used to detect a cyber attack. It is a central topic in the field of cybersecurity, which leads, for example, Creach Labs to dedicate a significant flow of 3 or 4 PhD or post-doc projects per year to it.

The objective of this seminar is to bring together all teams within the Creach Labs perimeter working on this domain, allowing PhD students and post-docs to present an update on their projects and providing teams with a global overview of ongoing work. A report will be written and distributed to participants, highlighting the different topics addressed in order to identify potential synergies, complementarities, and not covered important subjects.

Practical infos

  • Date

    October 10, 2023

  • Location

    Centre Inria de l’Université de Rennes sur le campus de Beaulieu à Rennes. Salle Petri-Turing

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The program

  • 09:00 - 10:00

    Introduction

    Présentation de l’activité DGA et orientations en matière de recherche

  • 10:00 - 10:30

    COFFEE BREAK

  • 10:30 - 11:00

    LAB-STICC - EQUIPE MATH&NET

    "Cyber Informedness: A New Metric using CVSS to Increase Trust in Intrusion Detection Systems" - Robin DURAZ

  • 11:00 - 11:30

    LAB-STICC – EQUIPE IRIS

    "Reconfiguration Automatique des Scénarios de Formation des Opérateurs Cyber à partir de Données Psycho Physiologiques" - Yvan BURGUIN

  • 11:30 - 12:00

    IRISA/Inria – EQUIPE CIDRE

    §  A Tale of Two Methods: Unveiling the limitations of GAN and the Rise of Bayesian Networks for Network Traffic Data Generation -
    Adrien SCHOEN

  • 12:00 - 12:30

    LAB-STICC - EQUIPE ARCAD

    §  A Lightweight Hardware Based Host Intrusion Detection System against IoT Wireless Attacks – Philippe TANGUY

  • 12:30 - 14:00

    LUNCH

  • 14:00 - 14:30

    LAB-STICC – EQUIPE IRIS

    Intrusion detection systems for Industrial Control Systems: Techniques to detect advanced persistent threats and future challenges - David ESPES

  • 14:30 - 15:00

    IRISA/Inria – EQUIPE CIDRE

    Evaluating Adversarial Vulnerability of AI-driven Intrusion Detection - Hélène ORSINI

  • 15:00 - 15:30

    Coffee break

  • 15:30 - 16:00

    LAB-STICC – EQUIPE IRIS

    IDS embarqués à faible impact énergétique pour les environnements contraints - Kevin DRUART

  • 16:00 - 16:30

    IRISA/Inria – EQUIPE CIDRE

    Vers la Compréhension des Alertes levées par des Systèmes de Détection d’Intrusion Réseau Non-supervisée - Maxime LANVIN

  • 16:30 - 17:00

    LAB-STICC – EQUIPE IRIS

    A novel bi-anomaly-based intrusion detection system approach for industry 4.0 - Salwa ALEM

  • 17:00 - 17:15

    Conclusion

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