M3D-FL: A Multi-Layer Malicious Model Detection for Federated Learning in IoT Networks
Speakers Okba BEN ATIA
Ce séminaire présentera une approche robuste pour la détection d’attaques complexes et furtives dans les environnements IoT et cyber-physiques, en mettant l’accent sur l’opérationnalisation des mécanismes de défense.
Multivariate Cryptography between Algebra and applications
Speakers Rosa Fera
This talk presents algebraic analyses of multivariate quadratic cryptosystems over finite fields, including Oil & Vinegar and mixed systems, with applications to security estimation, key exchange, and digital signatures.
Ce séminaire présente une méthodologie innovante de modélisation spatio-temporelle de la piraterie maritime, combinant analyses quantitative et qualitative pour une surveillance opérationnelle robuste des zones à risque.
State Machine Issues in Network Stacks and Application to SSH
Speakers Olivier Levillain
This seminar will talk about an analysis of state machines in network protocol implementations (like TLS), revealing incorrect transitions that lead to security issues such as authentication bypasses, denial of service vulnerabilities, and stack fingerprinting.
Speakers Pierre Parrend • Ludovic Perret • Riadh Robbana • Martina Vigorito • Loïc Rouquette • Mohamed Malhou • Ulysse Dupont-Latapie • Simon Abelard • Dayane Harkos • Hugo Mayer • Christopher Bonnelly • Majed Jaber • Julien Michel • Abdul Qadir Khan • Marc Espie • Elloh Adja • Ghada Gharbi • Walid Ghandour
Two days dedicated to scientific presentations and discussions.
Domaines clés de la cybersécurité et quelques pistes de recherche
Speakers Mohamed Mejri
Ce séminaire explore les enjeux actuels de la cybersécurité autour des incidents, des architectures sécurisées et de la sensibilisation, avec un focus sur l’apport de l’IA.
EPITA will be hosting the SSLR 2025 theme days from 08 to 09 October 2025.
Anomaly Detection in Vehicular Networks: A Generative AI-Based Approach
Speakers Hela Marouane
This research aims to explore the use of generative AI, combined with explainability mechanisms, to improve proactive anomaly detection and the security of vehicle ad hoc networks (VANETs).
This seminar presents recent advances in automatic media analysis for gender representation, developed within the ANR-funded Gender Equality Monitor project. It reviews methods for measuring speech time, visual presence, and thematic content by gender, and discusses the integration of these indicators into public reports, along with the challenges of going beyond binary gender categories.
Junk code: A practitioners' study
Speakers Harel Berger
This study delves into how human experts detect junk codes, a known tool for evasion attacks. Through an online experiment with industry and academic practitioners, we analyze the detection of evasive samples by humans, from simple to complex tactics. We show that the experience in software development impacts the ability of the participants to identify junk codes correctly. Surprisingly, their experience in cyber security is not a great contribution to this task, although detecting malicious code is generally viewed as a field of cyber security. We also show that extended time slots do not aid in detecting such junk codes. Mostly, these types of malicious code are identified early, and additional time does not make a great improvement. We hope this study will emphasize the need for improved training for future experts, to enhance malware detection in human-computer defense systems. Also, as we show the detection time of skilled experts to be relatively short, we envision effective detection systems based on human-computer interaction in the future.
Séminaire EPITA/ESME Sécurité des réseaux véhiculaires
Speakers Khaoula Sghaier • Lamine Amour
Les réseaux véhiculaires connaissent une interconnexion croissante, intégrant le réseau CAN pour le pilotage des véhicules, des systèmes d’infotainment, et le concept de “Software Defined Vehicle” (SDV) permettant la mise à jour et l’amélioration des capacités des véhicules après leur livraison. Si ces avancées offrent des opportunités considérables, notamment pour améliorer la sécurité, elles exposent également les véhicules à de nouvelles surfaces d’attaques potentielles.
Exploring Pointer Metadata Schemes for Enforcing Fine-grain Memory Safety
Speakers David Lie
In this talk, I will present recent work in my group that explores the use of advanced metadata encoding schemes to overcome limitations in memory safety overhead and checking accuracy.