DocumentCode :
721285
Title :
End-to-End Encryption Based Biometric SaaS: Using Raspberry Pi as a Remote Authentication Node
Author :
Shah, Dhvani K. ; Bharadi, Vinayak A. ; Kaul, V.J. ; Amrutia, Sameer
Author_Institution :
Inf. Technol., Thakur Coll. of Eng. & Technol., Mumbai, India
fYear :
2015
fDate :
26-27 Feb. 2015
Firstpage :
52
Lastpage :
59
Abstract :
Biometric systems are an integral part of physical access control systems. Biometric systems ensure that an opportunity to use a system or service is done by a valid user. These systems are used in various applications like ATMs, voting system, aadhar card, attendance management system etc. The biometric systems are in operation for a quite long time and their use is increasing. There is a need for low cost, scalable systems with high availability. In this paper a cloud based biometric system architecture is proposed, to make the system efficient and economical for remote enrollment. Authentication node is implemented on a Raspberry Pi, which is a low cost computer running on Linux. The system is capable of capturing multimodal biometric traits such as face and fingerprints and send them to cloud service by end-to-end encryption process. The proposed architecture is leveraging the power of cloud to make the system scalable and pluggable. Thus the use of Raspberry Pi makes the biometric system low cost and portable.
Keywords :
Linux; authorisation; biometrics (access control); cloud computing; cryptography; message authentication; ATM; Linux; Raspberry Pi; aadhar card; attendance management system; cloud based biometric system architecture; cloud service; end-to-end encryption based biometric SaaS; end-to-end encryption process; face biometric traits; fingerprints biometric traits; low cost computer; multimodal biometric traits; physical access control systems; remote authentication node; remote enrollment; software-as-a-service; voting system; Authentication; Cameras; Economic indicators; Encryption; Fingerprint recognition; Universal Serial Bus; Microsoft Azure; biometric system; cloud service; encryption; raspberry pi; remote transmission;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on
Conference_Location :
Pune
Type :
conf
DOI :
10.1109/ICCUBEA.2015.19
Filename :
7155807
Link To Document :
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