Title :
User authentication based on keystroke analysis of long free texts with a reduced number of features
Author :
Park, Sunghoon ; Park, Jooseoung ; Cho, Sungzoon
Author_Institution :
Dept. of Ind. Eng., Seoul Nat. Univ., Seoul, South Korea
fDate :
June 29 2010-July 1 2010
Abstract :
These days there are some papers about user classification and authentication based on keystroke patterns from typing long and free text. We suggest more accurate and convenient authentication model which is inspired by Pilsung et al. (2009). Unlike Gunetti and Picardi (2005), our model doesn´t need any kind of user-defined parameters and isn´t sensitive to noise. And the suggested model incorporates keystroke dynamics concepts more than Pilsung et al. (2009).
Keywords :
natural language processing; pattern classification; probability; security of data; text analysis; keystroke analysis; keystroke pattern; long free text; user authentication; user classification; Artificial neural networks; Atmospheric measurements; Data models; Particle measurements; Keystroke Dynamics Analysis Authentication; Long and Free Text;
Conference_Titel :
Communication Systems, Networks and Applications (ICCSNA), 2010 Second International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7475-2
DOI :
10.1109/ICCSNA.2010.5588979