IoT based Biometrics Implementation on Raspberry Pi

Shah, Dhvani and Bharadi, Vinayak IoT based Biometrics Implementation on Raspberry Pi. 7th International Conference on Communication, Computing and Virtualization 2016.

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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 flexibility, 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 thefollowing 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.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User: 09121001044 BRAMANTIO RIZKI N
Date Deposited: 29 Apr 2016 15:13
Last Modified: 29 Apr 2016 15:13

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