Innovative Approaches in Anomaly Detection: Insights from the EPITA and IMT Atlantique Seminar
On June 21, 2024, a full-day research exchange seminar was held at the Campus Cyber in Paris, focusing on anomaly detection in cybersecurity. This collaborative event featured participants from EPITA, led by Professor Pierre Parrend, and IMT Atlantique, led by Professor Marc-Oliver Pahl. Approximately 20 students attended the seminar, contributing to the vibrant academic discussions.
Participating Researchers from IMT Atlantique Cyber CNI Chaire
- Mathis Durand
- Hugo Bourreau
- Mohammed Mezaouli
Presentations Overview
The seminar featured several insightful presentations on various aspects of anomaly detection in cybersecurity. Below is a detailed list of the presenters, their affiliated institutions, and the titles of their presentations:
- Khaoula Sghaeir (EPITA)
- Title: Software Defined Vehicles: Applications, Attacks and Solutions
- Mathis Durand (IMT Atlantique)
- Title: Honeynets for increasing cybersecurity for cyber-physical systems
- Côme Frappé Vialatoux (Université de Strasbourg/EPITA)
- Title: Estimation of distribution for anomaly detection in Water Distribution Networks
- Fatemeh Stodt (Université de Strasbourg)
- Title: Advancing Network Survivability and Reliability: Integrating XAI-Enhanced Autoencoders and LDA for Effective Detection of Unknown Attacks
- Floribert Katembo Vuseghesa (Uni. Lyon II)
- Title: Node compromising detection to avoid poisoning attacks in IoT networks
- Hugo Bourreau (IMT Atlantique)
- Title: Digital Twins for attack and defense
- Clarisse Boinay (Université de Lille)
- Title: Détection des anomalies et des ruptures dans des graphs asynchrones dynamiques contextuels avec applications en cybersécurité OT
- Julien Michel (Université de Strasbourg/EPITA)
- Title: Graph-based Feature engineering for Threat Attack Detection
- Majed Jaber (Université de Strasbourg/EPITA)
- Title: Graph-Based Spectral Analysis for Detecting Cyber Attacks
- Maya Mouhamad (EPITA)
- Title: Predicting network intrusions using federated and interpretable anomaly learning
- Mohammed Mezaouli (IMT Atlantique)
- Title: Real-time AI Based Power Assisted Malware Predictor
- Tristan Bilot (Université Paris-Saclay)
- Title: Graph Neural Networks for Intrusion Detection
Seminar Highlights
The seminar was marked by engaging and insightful discussions on the presented topics. Each presentation contributed to a deeper understanding of the various techniques and challenges in anomaly detection within the field of cybersecurity. The collaborative environment fostered meaningful exchanges of ideas and potential solutions to common problems faced by researchers and practitioners.
Conclusion
The seminar was deemed highly successful by all participants. The diverse range of topics and the expertise of the presenters provided a comprehensive overview of current research trends and innovative approaches in anomaly detection. The event underscored the importance of continued collaboration and knowledge exchange between institutions. The format and organization of the seminar were praised, leading to a unanimous agreement on the need to repeat such events in the future.
Overall, the seminar not only advanced the participants’ understanding of anomaly detection in cybersecurity but also strengthened the collaborative ties between EPITA and IMT Atlantique.
Marc-Oliver is an adjunct professor of Carleton University in Canada. Marc-Oliver’s research focus is on a holistic approach to cybersecurity. He is an experienced teacher and an eLearning pioneer, holding several teaching awards.
Marc-Oliver holds a Diploma from University of Tübingen and a PhD from Technical University of Munich.
Marc-Oliver is Vice President of the German Chapter of the Association for Computing Machinery (ACM) (https://germany.acm.org/). He heads the Future Education activities of the German-French Academy for the Industry of the Future (https://future-industry.org/).
Marc-Oliver’s research focus is on a holistic approach to cybersecurity. He works on security-by-design, anomaly detection, human-in-the-loop, and automation. His goal is making cybersecurity manageable, resulting in highly resilient and reliable systems. Marc-Oliver publishes regularly in the network and service management and security communities.
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