Mathematical model of recognising mechanism of keystroke dynamics based on Gaussian distribution

The article deals with analysis of representation of keystroke dynamics as a Gaussian distribution. The approach proposed in the article incorporates the effects of multiple factors on the keystroke dynamics. It is based on the using of coefficients of Student and Gauss formula. This approach eliminates the gross measurement errors and make the procedure of identification of type I errors and type II errors less likely.