The increasing number of information systems\r\nrequires a reliable authentication technique for information\r\nsecurity. Password only is not enough to protect user account\r\nbecause it is still vulnerable to any intrusion. Therefore an\r\nauthentication system using dynamic keystrokes can be the\r\nsimplest and the best choice. Dynamic Keystroke Authentication\r\nSystem (DKAS) becomes an effective solution which can be easily\r\nimplemented to gain a high security information system with the\r\naid of a computer keyboard. DKAS verify users based on their\r\ntyping rythm. Two main stages of DKAS is the enrollment stage\r\nto register user into the system, and the authentication stage to\r\ncheck the authenticity of user. Moreover, we use a local threshold\r\nto make it becomes adaptive behaviometric for each user. From\r\nthe experiment conducted, the accuracy rate in distinguishing\r\ngenuine and impostor user is 91.72%. This shows that the\r\nadaptive method of DKAS has a promising result.
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