Study on Keystroke Dynamic with Feature of Pressure

Qian-hong YAN, Wei-kang WANG, Ruo-xi QIN, Hao-tian JIANG, Bo-rui YANG, Bao-chang ZHANG

Abstract


This paper introduces a new database structure which is different from the existed one that only consists of press and release time. To improve, we add eigenvalue of pressure to it and we compare the results of new database structure with the old one to clarify whether the adding eigenvalue of pressure can improve the efficiency of the system. In addition, we come up a different keystroke dynamics method, Hidden Markov Models, to examine the efficiency of the new database structure and compare it with the results from another similar one, One-Class Support Vector Machine, to figure out whether Hidden Markov Models will behave better.

Keywords


Keystroke dynamic, Support vector machine, Hidden markov model


DOI
10.12783/dtcse/aics2016/8243

Refbacks

  • There are currently no refbacks.