Keystroke Dynamics Verification Using a Spontaneously Generated Password

Abstract

Current keystroke dynamics applications have tackled the problem of traditional knowledge-based static password verification, but the problem of spontaneous password verification persists. The intent of this study was to examine the predictive strength of typing patterns for spontaneous passwords. The typing patterns of an individual typing at a DELLreg keyboard on a DELL OptiPlexreg GX260 machine were recorded. Variables collected included keystroke press time and keystroke latency. Computed performance measures included false match rates (FMR) and false non match rates (FNMR) at various threshold levels