Evolving Authentication Design Consideration and BaaS Architecture for Internet of Biometric things

Pravin S. Jangid, V. Bharadi
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Abstract

Cloud computing has opened many possibilities for the design and implementing various models of software for addressing variety of problems. Biometric authentication is an important aspect of security and need for the same is increasing day by day. This has resulted in adaptation of biometric security-based systems by masses. Further, with the portable sensors and computing devices the biometric authentication will become an integral part of Internet of Things. To handle such a large scale of authentication cloud-based implementation is a viable option. In this paper, an evolution of a multimodal biometric authentication system is discussed. Initially the system is proposed as a native multimodal biometric system and further modified to be deployed as Software as a service-based model and a cloud-based model with GPU and NoSQL database. This paper is presenting the improvement in computation time and scalability gained by cloud-based deployment.
生物识别物联网的演进认证设计思路与BaaS架构
云计算为设计和实现解决各种问题的各种软件模型提供了许多可能性。生物识别认证是安全的一个重要方面,其需求日益增加。这导致大量采用基于生物识别的安全系统。此外,随着便携式传感器和计算设备的出现,生物识别认证将成为物联网不可或缺的一部分。要处理如此大规模的身份验证,基于云的实现是一个可行的选择。本文讨论了一种多模态生物识别认证系统的发展。该系统最初是作为一个本地的多模态生物识别系统提出的,并进一步修改为基于软件的基于服务的模型和基于云的基于GPU和NoSQL数据库的模型。本文介绍了基于云的部署在计算时间和可扩展性方面所取得的进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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