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Conference Paper Keystroke Dynamics for Authentication in Smartphone
Cited 28 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Jong-hyuk Roh, Sung-Hun Lee, Soohyung Kim
Issue Date
2016-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2016, pp.1155-1159
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2016.7763394
Abstract
When entering a PIN on the touch screen of smartphone, users have their unique patterns, which shows different time interval, strength, position, and usage angel. Using this user's pattern, it is possible to distinguish the imposter who knows the user's PIN, then the PIN verification can be enhanced in the smartphone environment. In this paper, we tested classifiers with five features that can be extracted from smartphone sensors. Also, we collected keystroke data for each user's posture, and compared the characteristics of the posture. We consider the importance of preprocessing and feature combinations.
KSP Keywords
Keystroke Dynamics, Smartphone sensors, Time interval, Touch screen