Highly Secure Authentication Scheme

Ushir Kishori Narhar, R. Joshi
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引用次数: 8

Abstract

The increased level of effective security control and transaction fraud in the world of electronic and internet commerce, demands for highly secured identification and personal verification systems. The Knowledge based authentication system encourage to user in selecting password for high security. For high security application the proposed scheme presents an integrated evaluation of the graphical password scheme by using persuasive cued click points, including usability and security evaluations, and implementation considerations along with the biometric authentication using finger nail plate surface. It implements the graphical passwords scheme to improvise the difficulty level of guessing it along with the biometric authentication which is very convenient and efficient method by acquiring low resolution images of nail plate surface which is the outermost part of the nail unit. The contour and texture characteristics of nail plates from three fingers (Index, Middle and Ring) are represented by the appearance and shape based feature descriptors. To implement these we use the technique of score level rules for fusion and classifier based fusion of matching scores by employing decision tree and support vector machine. The objective is to provide highly secure authentication scheme by using user name with graphical password using persuasive cued click points along with biometric authentication using finger nail plate. The scope of the scheme is limited to three fingers only and also for high security purpose where it is very important to keep tight security like military application, forensic labs, civilian, banking applications, etc.
高度安全认证方案
在电子和互联网商务的世界中,有效的安全控制和交易欺诈的水平不断提高,需要高度安全的身份识别和个人验证系统。基于知识的认证系统鼓励用户选择密码,提高安全性。对于高安全性应用,该方案通过使用有说服力的提示点击点对图形密码方案进行综合评估,包括可用性和安全性评估,以及使用手指指甲板表面的生物识别认证的实施考虑。通过获取甲单元最外层的甲板表面的低分辨率图像,实现图形化密码方案,提高猜测难度,并结合生物特征认证这一方便高效的方法。用基于外观和形状的特征描述符来表示三指指甲(食指、中指和无名指)的轮廓和纹理特征。为了实现这些目标,我们采用了分数水平规则融合技术和基于分类器的匹配分数融合技术,并采用了决策树和支持向量机。目标是提供高度安全的身份验证方案,使用用户名和图形密码,使用有说服力的提示点击点,以及使用指甲板的生物识别身份验证。该方案的范围仅限于三指,也适用于高度安全的目的,如军事应用,法医实验室,民用,银行应用等,保持严格的安全性非常重要。
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