Security and Systems / Projects

#Post-Quantum Cryptography #Cryptanalysis #AI

AI4PQC

The project focuses on the application of machine learning techniques for the cryptanalysis of post-quantum cryptosystems.

#Rapid #Attack Detection #Graph

DAMIAGE

DGA Rapid DAMIAGE project, "Detection of Attacks and Threats for Large-Scale Infrastructures".

#Advanced Persistent Threats #Cyber-Physical Systems #Software deception #Deep Reinforcement Learning

GAML-MUDIT

Cyber-Physical Systems (CPS), such as those used in water treatment, are increasingly exposed to sophisticated multi-domain Advanced Persistent Threats that exploit both network vulnerabilities and physical processes, revealing the limits of traditional single-domain security. This project proposes a multi-domain deception framework that combines game theory, deep reinforcement learning, and intent-based networking to orchestrate adaptive, believable cyber-physical decoys that mislead attackers and maintain consistent long-term deception without harming real systems.

#Post-Quantum Cryptography #Multi-Cloud Storage #Cryptographic Protocols

MCS

Design of new cryptographic protocols and primitives for multi-cloud storage (MCS).

#Cybersecurity #Non-Specialist Training #Specialist Training #Instructor Training #Career Promotion #Educational Platforms

OSMOSE

The OSMOSE project, led by the University of Toulouse, aims to boost cybersecurity skills in the Occitanie region. It offers tailored training from secondary school to lifelong learning, utilizing interactive cyber-ranges and a network of instructors. The project also promotes cybersecurity careers and aligns with regional and national strategies, integrating technical, psychological, sociological, and legal aspects with diverse partnerships.

#Post-Quantum Cryptography #QKD #Hybrid #Protocols

PQCQKD

Propose new protocols for fully hybrid cryptography, that combines classical, post-quantum, and quantum cryptography, and integrate them into existing infrastructures.

#V2X Communication #Security #SDV #TCU

Software Defined Vehicle Security

The goal of this project is the design of an approach to secure CAV nodes and the end-to-end interactions between the TCU and the V2X application services. To this end, we rely on bio-inspired techniques.

#Regional funding #Attack Detection #Graph

XDGMed

Explainable attack Detection using Graphs for Medical devices.