Analisys and Implementation Cloud-based Biometricauthentication in Mobile Platform

Mobile Platform Biomeric Cloud Authentication

Authors

  • agostinho marques ximenes politeknik elektronik negeri surabaya, Indonesia
  • Sritrusta Sukaridhoto Informatic and Computer Department Electronic Engineering Polytechnic Institute of Surabaya, Indonesia
  • Amang Sudarsono Informatic and Computer Department Electronic Engineering Polytechnic Institute of Surabaya, Indonesia
  • Hasan Basri Informatic and Computer Department Electronic Engineering Polytechnic Institute of Surabaya, Indonesia

DOI:

https://doi.org/10.21107/kursor.v10i2.200

Keywords:

Biometric, Cloud server, Cryptography, QR Code

Abstract

Based on the Indonesian Central of Statistics the level of poverty people in September 2018 was 25.95 million, based on data, the government allocation care fund the reduce poverty people, the fund are given through the bank. However, banks cannot allocation funds because the cost for build infrastructure is expensive, such as making an ATM. about that, the banks need to find a new solution to allocation care fund to the poverty people, Mobile Platform Biometric Cloud Authentication is one  solution. In this study, the experimentationn of the biometric face recognized( face data  enrypt and decript by algoritma AES 256 bit) to secure online payment mobile application based on the QR Code scan and face recognition[8,10]. The concentration of this study lies in the experimentationn of biometric face recognize and QR Code scan on biometric payment based face recognition and QR Code scan mobile applications that play a role in data communication security. The test results on this mobile application show that scanning a QR Code and biometric face recognize can be implemented at an online merchant transaction with an accuracy of 95% and takes 53, 21 seconds in transactions.

Keyword: biometric, cloud server, Cryptography, QR Code.

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References

[1] Badan pusat statistika Indonesia, “tingkat kemiskinan“, access February ,11, 2019. Available: https://www.bps.go.id.
[2] Ahmad Amran, Surya Michrandi Nasution, Fairuz Azmi,” Experimentationn of Cryptography Algorithm For Biometric Payment”. E-proceeding of engineering, Vol.3, No.1 April 2016.
[3] Tresandern and Timothy F. Cootes,” Mobile Biometrics: Combined Face and Voice Verification for the mobile platform”, IEEE, Books, 2013.
[4] Selvia Rahmawati1, Ichsan Taufik, Gitarja Sandi,” Implementasi Algoritma AES(Advanced Encryption Standard)256Bit Dan Kompresi Menggunakan Algoritma Huffman Pada Aplikasi Voice Recorder”, SENTER 2017, 15-16 Desember 2017.
[5] Microsoft Azure,“Face API Azure Cloud documentation” access February 2019.Available:https://www.azure.mic rosoft.com.
[6] J.Zhou, X.G.Lu, D. Zhang, C. Wu, Orientation analysis for rotated human face detection, Image and Vision Computing, 20, 2002, 257-264.
[7] Weizhi Meng; Wong, D.S.; Furnell, S.; Jianying Zhou,"Surveying the Development of Biometric User Authentication on Mobile Phones," in Communications Surveys & Tutorials, IEEE, vol.17, no.3, pp.1268-1293, third quarter 2015.
[8] Stefan Rass and Daniel Slamanig, ”Cryptography for security and privacy in cloud computing”, Artech House, Boston London., 2014.
[9] Merchant“online-merchant”,access- May 12; 2019. [online].available:https://www.securio npay.com.
[10] Soyuj Kumar Sahoo and S R Mahadeva Prasanna,” Bimodal Biometric Person Authentication Using Speech and Face Under Degraded Condition”, IEEE, conf. 28- 20 Jan 2011, vol. 5, no. 2, Bangalore, India. 2011.
[11] QR Code, “Basic Understanding of QR Code Payment”, access april 22 2019.[online].available: www.molpay.com16.
[12] Omri, F, Foufou, S, Hamila, R dan Jarraya, M,” cloud-based mobile system for biometric authentication
,IEEE.2006.
[13] Xudong Cao, Yichen Wei, Fang Wen, Jian Sun,” Face Alignment By Explicit Shape Regression”, Int J Comput Vis, April 2014, Volume 107.
[14] Xiaoxue Wang, Yufang Zhang and Huicheng Yang, “ A Bimodal Biometric Verification System Based on Fingerprint and Face”, EEEI, Conf. 14-16 May 2015, vol. 3 no. 2. Beijing , China 2015.
[15] Xiang Sun, “Green Cloudlet Network: A Sustainable Platform for Mobile Cloud Computing”, IEEE, conf. 10 Oct. 2017, vol. 14, no. 2-3, IEEE.2017.
[16] Shichao Guan, Robson Eduardo De Grande, Azzedine Boukerche,” A Novel Energy Effcient Platform Based Model to Enable Mobile Cloud Applications”,IEEE, conf. 27-30 June 2016, vol. 6 no. 4. Messina, Italy. 2016.
[17] Milos Stojmenovic, “Mobile Cloud Computing for Biometric Applications”, IEEE, conf. 26-28 Sept 2012, vol. 6, no. 5, Melbourne, VIC, Australia, 2012

Additional Files

Published

2019-12-13

Issue

Vol. 10 No. 2 (2019)

Section

Articles

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