基于雾计算的多因素生物特征认证方法确保安全性

F. Ahmadi, Sonia, Gaurav Gupta, Syed Rameem Zahra, Preeti Baglat, Puja Thakur
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引用次数: 9

摘要

云计算是一种通过可伸缩性提供灵活性的技术。与云计算一样,如今雾计算被认为是更具革命性和动态性的技术。但是,雾计算的主要问题是要注意其安全性,因为在这种情况下,人的身份识别是由单点登录系统完成的。为了解决雾计算带来的安全问题,本文提出了一种创新的方法。在本文中,提出了一种结合不同生物识别技术来验证人的真实性的方法,并提供了一个完整的模型,该模型将能够在雾计算中提供必要的验证和安全性。在这个模型中,使用了几种生物识别技术,每一步都能提取出更真实、更详细的信息。此外,在本文中,研究了不同的技术和方法,以评估所提出的技术在减少安全威胁方面的有用性。本文提出了一种容量较大的生物识别认证技术,以增强雾安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-factor Biometric Authentication Approach for Fog Computing to ensure Security Perspective
Cloud Computing is a technology which provides flexibility through scalability. Like, Cloud computing, nowadays, Fog computing is considered more revolutionary and dynamic technology. But the main problem with the Fog computing is to take care of its security as in this also person identification is done by single Sign-In system. To come out from the security problem raised in Fog computing, an innovative approach has been suggested here. In the present paper, an approach has been proposed that combines different biometric techniques to verify the authenticity of a person and provides a complete model that will be able to provide a necessary level of verification and security in fog computing. In this model, several biometric techniques have been used and each one of them individually helps extract out more authentic and detailed information after every step. Further, in the presented paper, different techniques and methodologies have been examined to assess the usefulness of proposed technology in reducing the security threats. The paper delivers a capacious technique for biometric authentication for bolstering the fog security.
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