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Biometric re-authentication: an approach towards achieving transparency in user authentication

机译:生物识别重新认证:一种实现用户认证透明性的方法

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摘要

Providing fixed re-authentication attempts to the user in case of password mismatch is a very old concept. But as password based authentication mechanisms are prone to many security attacks, user's biometric properties along with passwords are highly in use for user authentication these days. It will be more secure and convenient if re-authentication influenced by the biometric behavior of the user is applied in the authentication system. It is a challenging task to identify a genuine user using behavioral biometric due to its low repeatability and wide variation. So, to increase the efficiency and robustness of the authentication system in case of score mismatch, the clustering of user's behavior and assigning different re-authentication attempt to different cluster is needed. In this paper, we have proposed a transparent fixed text, keystroke based user authentication framework, which will enhance the security of traditional password based authentication mechanism. A new classification algorithm and dynamic attempt allocation algorithm have been proposed which will make the authentication system smart enough to provide the genuine user a fare authentication attempt.
机译:在密码不匹配的情况下为用户提供固定的重新认证尝试是一个非常古老的概念。但是,由于基于密码的身份验证机制容易受到许多安全攻击,因此,如今,用户的生物特征和密码已广泛用于用户身份验证。如果在身份验证系统中应用受用户生物特征行为影响的重新身份验证,将更加安全和方便。由于行为生物特征识别的低重复性和广泛的差异,使用行为生物特征识别来确定真正的用户是一项艰巨的任务。因此,为了在分数不匹配的情况下提高认证系统的效率和鲁棒性,需要对用户行为进行聚类并将不同的重新认证尝试分配给不同的聚类。在本文中,我们提出了一种透明的,基于固定文本,基于击键的用户身份验证框架,它将增强传统基于密码的身份验证机制的安全性。提出了一种新的分类算法和动态尝试分配算法,它将使认证系统足够智能,从而为真正的用户提供票价认证尝试。

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