Un événement

GDR Sécurité Informatique Région Hauts de France

organisé par 

Université de Lille CRIStAL
Visual memory, biometrics and applications to cybersecurity
Mehdi Bouhamidi  1@  , Enka Blanchard  1, *@  , Antoine Gallais  2, *@  
1 : Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201
Centre National de la Recherche Scientifique, Université Polytechnique Hauts-de-France, Université Polytechnique Hauts-de-France, Centre National de la Recherche Scientifique : UMR8201
2 : Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201
Centre National de la Recherche Scientifique, Université Polytechnique Hauts-de-France, INSA Institut National des Sciences Appliquées Hauts-de-France
* : Auteur correspondant

In the past decade, biometric authentication methods have received particular attention for their potential to enhance security and user convenience,surpassing traditional methods such as passwords, security tokens or other authentication modalities. Also, in response to constantly evolving threats, and the ongoing need to reinforce security measures, one promising avenue is the exploration of the pupillary reflex as a unique biometric indicator.
The human pupil undergoes involuntary changes in response to external stimuli, and these reflexive alterations can be captured and analyzed for authentication purposes. The aim of this PhD thesis is to investigate the feasibility and effectiveness of using reflexive pupil size as a biometric authentication method, particularly when exposed to visual stimuli. By understanding how the pupil responds to specific visual cues, we hope to establish a reliable and non-intrusive means of authenticating individuals.



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