My PhD works focus on privacy-compliant multi-modal user biometric authentication, to this extend, I proposed a Privacy Identity Code Respecting Privacy. I also proposed a method to protect user privacy through anonymisation of its keystroke, as well as a method to generate synthetic Keystroke Dynamics in a journal at FGCS (Q1) . I also collaborate with the University of Reggio Calabria on identity verification on Social Networks.

Authentication protocols generally assume that clients (s.a. computers and smartpones) are secured. We argue that malwares can corrupt clients (32% of computers are infected by a malware ) and modify their expected behavior. In order to bring security to the client-side, we delegate sensitives operations (s.a. passwords inputs and signatures computations) to an external device assumed incorruptible, a trusted device.

As part of my training, I made two internships (3 and 5 months) at the University of Oslo on the OffPAD project , proposed by the OffPAD consortium , resulting of 6 demonstrators presented at the ACM CCS 2016 , A* conference. We also proposed a new trusted device architecture (OTDP) and a 3-party usage of TLS (TLS Switching) in a publication at SiOT (ESORICS Workshop) .