身份验证是在数字应用程序中对用户的个人信息保密的过程。此外,数字平台中的用户认证过程通过生物识别等一些认证方法来验证自己的用户,语音识别,等等。传统上,使用基于一次性登录的凭据验证方法进行用户身份验证。最近,提出了几种新的方法来增强用户身份验证框架,但是在身份验证执行过程中发现这些方法不一致。因此,这篇评论文章的主要动机是分析语音识别等认证系统的优缺点,击键,和小鼠动力学。在连续的非用户身份验证环境中对这些身份验证模型进行评估,并以表格和图形表示的方式呈现了它们的结果。此外,讨论部分广泛解释了所讨论的身份验证系统的共同优缺点。从今以后,这项研究将帮助研究人员在每个阶段采用最合适的方法来构建非侵入式主动认证的认证框架。
Authentication is the process of keeping the user\'s personal information as confidential in digital applications. Moreover, the user authentication process in the digital platform is employed to verify the own users by some authentication methods like biometrics, voice recognition, and so on. Traditionally, a one-time login based credential verification method was utilized for user authentication. Recently, several new approaches were proposed to enhance the user authentication framework but those approaches have been found inconsistent during the authentication execution process. Hence, the main motive of this
review article is to analyze the advantage and disadvantages of authentication systems such as voice recognition, keystroke, and mouse dynamics. These authentication models are evaluated in a continuous non-user authentication environment and their results have been presented in way of tabular and graphical representation. Also, the common merits and demerits of the discussed authentication systems are broadly explained discussion section. Henceforth, this study will help the researchers to adopt the best suitable method at each stage to build an authentication framework for non-intrusive active authentication.