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IoT Based Biometrics Implementation on Raspberry Pi

机译:Raspberry Pi上基于物联网的生物识别技术实现

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Developments in the field of Information Technology also make Information Security a devoted part of it. In order to deal with security, Authentication plays an imperative role. In this paper, Biometrics is used for authentication. This paper also describes how biometrics can leverage cloud's boundless computational resources and striking properties of ?exibility, scalability, and cost reduction in order to reduce the cost of the biometrics system requirements of different computational resources (i.e. processing power or data storage) and to enhance the performance of biometrics systems’ processes (i.e. biometric matching). Here, Raspberry Pi is used to build a low-cost biometric system. Raspberry Pi (RPi) is a credit-sized mini-computer with great capabilities similar to a PC. In this study it is used as a remote enrollment node. The application of Raspberry Pi and cloud computing has given a new direction of research into the field of Internet-of-Things (IoT). Using the biometric technology, a new system of IoT based biometrics is proposed. To maintain the security of biometric traits over the Internet channel from RPi client to the cloud, cryptographic algorithms are applied like RSA and enhanced AES-256. The encrypted biometric information is stored on the cloud and the authentication can be done by Biometric service hosted on Azure cloud. Thus, this papers covers the following topics: attracting power of biometrics into the authentication services, biometrics leveraging the power of cloud, Raspberry Pi- a low-cost IoT device, enhanced AES-256 with Round structure and dynamic S-box generation and the new emerging trend of Internet-of-Things.
机译:信息技术领域的发展也使信息安全成为其中的一部分。为了处理安全性,身份验证起着至关重要的作用。在本文中,将生物识别技术用于身份验证。本文还介绍了生物识别技术如何利用云的无限计算资源以及灵活性,可扩展性和成本降低的显着特性,以降低不同计算资源(即处理能力或数据存储)对生物识别系统的要求,并增强生物识别系统过程的性能(即生物识别匹配)。在这里,Raspberry Pi用于构建低成本的生物识别系统。 Raspberry Pi(RPi)是一台信贷级的微型计算机,具有与PC相似的强大功能。在本研究中,它用作远程注册节点。 Raspberry Pi和云计算的应用为物联网(IoT)领域提供了新的研究方向。利用生物识别技术,提出了一种新的基于物联网的生物识别系统。为了维护从RPi客户端到云的Internet通道上生物特征的安全性,应用了诸如RSA和增强型AES-256之类的加密算法。加密的生物特征信息存储在云中,并且可以通过Azure云上托管的生物特征服务完成身份验证。因此,本文涵盖以下主题:将生物识别技术吸引到身份验证服务中,利用云功能进行生物识别,Raspberry Pi(一种低成本IoT设备),具有Round结构和动态S-box生成功能的增强型AES-256,以及物联网的新趋势。

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