On the shape of timings distributions in free-text keystroke dynamics profiles.

ABSTRACT: Keystroke dynamics is a soft biometric trait. Although the shape of the timing distributions in keystroke dynamics profiles is a central element for the accurate modeling of the behavioral patterns of the user, a simplified approach has been to presuppose normality. Careful consideration of the individual shapes for the timing models could lead to improvements in the error rates of current methods or possibly inspire new ones. The main objective of this study is to compare several heavy-tailed and positively skewed candidate distributions in order to rank them according to their merit for fitting timing histograms in keystroke dynamics profiles. Results are summarized in three ways: counting how many times each candidate distribution provides the best fit and ranking them in order of succe

SUBMITTER: Gonzalez N 

PROVIDER: S-EPMC8606350 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature