User Dependent Template Update for Keystroke Dynamics Recognition

Abstract

Regarding the fact that individuals have different interactions with biometric authentication systems, several techniques have been developed in the literature to model different users categories. Doddington Zoo is a concept of categorizing users behaviors into animal groups to reflect their characteristics with respect to biometric systems. This concept was developed for different biometric modalities including keystroke dynamics. The present study extends this biometric classification, by proposing a novel adaptive strategy based on the Doddinghton Zoo, for the recognition of the user's keystroke dynamics. The obtained results demonstrate competitive performances on significant keystroke dynamics datasets.

Analysis of Doddington zoo classification for user dependent template update: Application to keystroke dynamics recognition

“…This invited article supports and improves the results of the original "User Dependent Template Update for Keystroke Dynamics Recognition" [13].…”

Double serial adaptation mechanism for keystroke dynamics authentication based on a single password

“…It was already demonstrated in [19,47,56,57] that updating the used thresholds would improve the system performance. An individual decision threshold T s+1 j of session (s + 1) is adapted by decreasing it with a coefficient calculated by the average of the mean vector of reference µ and the standard deviation of the standard deviation vector σ, as indicated in Equation ( 5).…”