LXer: Keystroke security dynamics from custom Perl algorithms
Published at LXer:
The whorls and ridges on your fingertips can identify you based on what you touch. How you touch and especially type can often be just as unique an activity. Keystroke dynamics is a relatively new field that enables identification of individuals through statistical analysis of their typing patterns. Many commercial products analyze the dynamics of password entry, as well as continuous typing monitoring for enhanced security. This article uses example code to demonstrate keystroke dynamics for enhancing the security of your applications in authentication and continuous data entry contexts.
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