A Novel Biometric Identification Based on a User's Input Pattern Analysis for Intelligent Mobile Devices

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23

초록

As intelligent mobile devices become more popular, security threats targeting them are increasing. The resource constraints of mobile devices, such as battery life and computing power, however, make it harder to handle such threats effectively. The existing physical and behavioural biometric identification methods - looked upon as good alternatives - are unsuitable for the current mobile environment. This paper proposes a specially designed biometric identification method for intelligent mobile devices by analysing the user's input patterns, such as a finger's touch duration, pressure level and the touching width of the finger on the touch screen. We collected the input pattern data of individuals to empirically test our method. Our testing results show that this method effectively identifies users with near a 100% rate of accuracy.

키워드

Mobile securityBiometricUser identificationInput pattern analysisNeural networkAUTHENTICATION
제목
A Novel Biometric Identification Based on a User's Input Pattern Analysis for Intelligent Mobile Devices
저자
Seo, HojinKim, EunjinKim, Huy Kang
DOI
10.5772/51319
발행일
2012-07-27
유형
Article
저널명
International Journal of Advanced Robotic Systems
9