Auflistung nach Autor:in "Rosenberger, Christophe"
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- KonferenzbeitragAnalysis of the acquisition process for keystroke dynamics(BIOSIG 2012, 2012) Giot, Romain; Ninassi, Alexandre; El-Abed, Mohamad; Rosenberger, ChristopheIn order to evaluate authentication methods for keystroke dynamics, it is necessary to create new datasets. We present in this paper an analysis study of the factors, involved during the acquisition process, which affect the performance of keystroke-based authentication systems. More generally speaking, we are looking for the optimal keystroke data acquisition scenario which may deeply affect the performance of such systems. Results show that (1) it is better to choose passwords based on short, simple and known words; and (2) during the acquisition process of a new keystroke dynamics dataset, there is no significant preference for displaying or telling to a user the text to type.
- KonferenzbeitragChallenge-based speaker recognition for mobile authentication(BIOSIG 2012, 2012) Baloul, Mossah; Cherrier, Estelle; Rosenberger, ChristopheUser authentication is a major trend to guarantee the security of electronic transactions when using mobile devices such as tablets or mobile phones. Biometrics is for us the only real user authentication method. In this article, we propose to realize a speaker recognition approach to achieve this goal. We use a challenge-based method to avoid the replay attack (especially if the impostor has recorded the user's voice). In this case, free text recognition is realized. Experimental results on the CMU database show very good results, while providing low computation times.
- KonferenzbeitragIn what way is it possible to impersonate you bypassing fingerprint sensors?(Biosig 2016, 2016) Vibert, Benoit; Bars, Jeam-Marie Le; Charrier, Christophe; Rosenberger, Christophe
- KonferenzbeitragSoft biometrics database: a benchmark for keystroke dynamics biometric systems(BIOSIG 2013, 2013) Idrus, Syed Zulkarnain Syed; Cherrier, Estelle; Rosenberger, Christophe; Bours, PatrickAmong all the existing biometric modalities, authentication systems based on keystroke dynamics are particularly interesting for usability reasons. Many researchers proposed in the last decades some algorithms to increase the efficiency of this biometric modality. Propose in this paper: a benchmark testing suite composed of a database containing multiple data (keystroke dynamics templates, soft biometric traits . . . ), which will be made available for the research community and a software that is already available for the scientific community for the evaluation of keystroke dynamics based systems. We also built the proposed biometric database on soft biometric traits for keystroke dynamics to suit the experiment. 110 people had voluntarily participated and gave their soft biometrics data i.e. the way of typing, gender, age and handedness.