Investigating performance of neural networks in authentication using keystroke dynamics

Biometrics technology has emerged as the desired solution for a range of secure applications where a person's identity must be determined. Biometrics is currently controlling network and physical access in numerous high risk areas, including airport customs and immigration desks, financial malls among others. This paper compares applications of neural networks to the field of hardened password mechanism in a typical workplace environment.