C-CURE addresses a pressing problem with regards to user authentication: lack of flexibility. Current authentication methods are uniform and static. Their power, and thus the involved overhead for the user, is the same for small (in terms of the required security) and large processes or transactions. C-CURE aims to develop a flexible multi-modal approach which adapts the security level and procedure depending on the expected risk and the context of the user.

Research topics:  

• Learning in Multi-Agent Systems
• Machine Learning for Data mining
• Game Theory
• Reinforcement Learning