文章基本信息

标题：A Novel Biometric Identification Based on a User’s Input Pattern Analysis for Intelligent Mobile Devices
本地全文：下载
作者：Hojin Seo ; Eunjin Kim ; Huy Kang Kim 等
期刊名称：International Journal of Advanced Robotic Systems
印刷版ISSN：1729-8806
电子版ISSN：1729-8814
出版年度：2012
卷号：9
DOI：10.5772/51319
语种：English
出版社：SAGE Publications
摘要：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.
关键词：Mobile security; Biometric; User identification; Input pattern analysis; Neural network