保护数字交易安全的用户多因素生物特征认证框架

Arvind K. Panpatte
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引用次数: 0

摘要

最近互联网上的数字交易增长很快。这是与安全相关的最新课题,也是需要研究的课题。随着技术的发展,我们需要改进和构建安全的互联网认证方案。安全认证方案保护用户的重要信息不受安全威胁。在互联网上进行数字交易时,保护变得越来越重要,对身份验证的需求比以前更加必要。传统的认证方式存在用户名、密码等诸多问题。此外,入侵者还会破解各种破解用户信息、密码的方法,包括暴力破解、肩部冲浪、字典攻击等。本文对使用不同的融合技术实现数字交易的安全认证方案是有用的。这里提出的系统方法结合了用户详细信息,如用户名、密码、OTP和生物特征(如指纹、面部和虹膜等特征)融合验证,以实现更有效的用户身份验证。我们提出的观点已经开始提高各种形式的入侵和身份验证层对基于密码的攻击的安全性。
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Multi-Factor Biometric Authentication Framework to User for Securing Digital Transaction
The recent growth of digital transactions over the internet is high. This is the newest topic which is to be implemented as well as need to study related with the security.  The development of technology we need to improve and build the safe authentication scheme over the internet. The safe authentication scheme is protecting the user valuable information against security threats. While performing digital transactions over the internet, the protection is turn into high importance and demand for authentication is more necessary than before.  In the traditional authentication there are so many problems such as username, password & so on. Also, intruders will crack various ways of hacking user information, passwords including brute force attack, shoulder surfing, dictionary attacks, etc. This paper is useful to performing a secure authentication scheme using different fusion techniques for digital transactions. The propose system approach here combines user details as like user name, password, OTP and biometrics (traits as like fingerprint, face & iris) fusion verification for a more valid user authentication. Our proposed point of view has been initiating to improve security benefits for various forms of invasion & authentication layers turn on password-based attacks.
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