A Personal Authentication with Keystroke Timing Patterns Based on Self-Organizing Maps

Abstract

In this paper, we propose a method of personal authentication with keystroke timing patterns based on Self-Organizing Maps (SOM) and introduce an authentication front-end system of a DBMS for clinical cases. At first, we show a necessity of biometric authentication and general privacy policy on the Internet Service as WWW. Secondly, we show how to construct the front-end system, and explain an application of SOM theory. Finally we also show the system ability test to measure False Acceptance Rate (FAR) and False Rejection Rate (FRR) on the maps, which were trained with 40 input-vectors. For result of this ability test, our system keeps FAR at 62.0% when FRR is 20.0%. Thus it seems that our method is available for personal authentication with no hardware for biometric authentication.