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Communication Dans Un Congrès Année : 2015

Keystroke Dynamics Performance Enhancement With Soft Biometrics

Résumé

It is accepted that the way a person types on a key-board contains timing patterns, which can be used to classify him/her, is known as keystroke dynamics. Keystroke dynamics is a behavioural biometric modality, whose perfor-mances, however, are worse than morphological modalities such as fingerprint, iris recognition or face recognition. To cope with this, we propose to combine keystroke dynamics with soft biometrics. Soft biometrics refers to biometric characteristics that are not sufficient to authenticate a user (e.g. height, gender, skin/eye/hair colour). Concerning keystroke dynamics, three soft categories are considered: gender, age and handedness. We present different methods to combine the results of a classical keystroke dynamics system with such soft criteria. By applying simple sum and multiply rules, our experiments suggest that the combination approach performs better than the classification approach with best result of 5.41% of equal error rate. The efficiency of our approaches is illustrated on a public database.
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hal-01115377 , version 1 (14-02-2015)

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  • HAL Id : hal-01115377 , version 1

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Syed Zulkarnain Syed Idrus, Estelle Cherrier, Christophe Rosenberger, Soumik Mondal, Patrick Bours. Keystroke Dynamics Performance Enhancement With Soft Biometrics. IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), Mar 2015, Hong Kong, China. ⟨hal-01115377⟩
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