Behavioral Authentication for Smartphones backed by Something you Process

Q4 Environmental Science
Adeel Ahmed
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引用次数: 0

Abstract

Authentication of smartphone devices has been never so important nowadays. Machine learning techniques are not far behind to touch the new milestones of the latest and ever updating world. However, totally depending on machine learning will give you the scenarios of false user being accepted as true one and a true user being rejected as the false one, which can be devastating in some cases. Fifth factor of authentication “Something You Process” eradicates most of the cases of the false acceptance and false rejection, if used with the mentioned techniques. The novel approach applied here is the fifth factor combined with machine learning system and Behavioral authentication. The fifth factor is anti-shoulder surfing since the arithmetic operation is hidden by hand placed on the screen. After placing hand on the screen in such a way that it hides the code from others, the system shows the arithmetic operation and the processed calculation is performed in user’s mind. The pattern which is shown to the user is public, but machine learns the touch dynamics of the user along with his different postures including lying posture. The focus has been on the aspect of something that can be another layer or line of defense which can save the user’s authentication process. It results in decrement of false acceptance or false rejection upon unlocking of a smartphone device. This study deals with the postures of standing, sitting, and lying. The data is collected and the features are extracted in all of these positions.
智能手机的行为认证由你处理的东西支持
如今,智能手机设备的认证从未如此重要。机器学习技术很快就会触及最新和不断更新的世界的新里程碑。然而,完全依赖机器学习会给你假用户被接受为真用户和真用户被拒绝为假用户的场景,这在某些情况下可能是毁灭性的。认证的第五个因素“你自己处理的东西”,如果与上述技术一起使用,可以根除大多数错误接受和错误拒绝的情况。本文采用的新方法是结合机器学习系统和行为认证的第五个因素。第五个因素是防肩冲浪,因为算术运算是手工隐藏在屏幕上的。将手放在屏幕上,隐藏代码后,系统显示算术运算,处理后的计算在用户的脑海中进行。向用户展示的模式是公开的,但机器学习用户的触摸动态以及他的不同姿势,包括躺姿。重点一直放在可以作为另一层或防线的东西的方面,这可以节省用户的身份验证过程。它导致智能手机设备解锁时虚假接受或虚假拒绝的减少。这项研究涉及站、坐和躺的姿势。收集数据并提取所有这些位置的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Iranian Journal of Botany
Iranian Journal of Botany Environmental Science-Ecology
CiteScore
0.80
自引率
0.00%
发文量
0
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