• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Energy-Efficient Biometrics-Based Remote User Authentication for Mobile Multimedia IoT Application


Abstract

Recently, the biometric-based authentication systems such as FIDO (Fast Identity Online) are increased in mobile computing environments. The biometric-based authentication systems are performed on the mobile devices with the battery, the improving energy efficiency is important issue. In the case, the size of images (i.e., face, fingerprint, iris, and etc.) affects both recognition accuracy and energy consumption, and hence the tradeoff analysis between the both recognition accuracy and energy consumption is necessary. In this paper, we propose an energy-efficient way to authenticate based on biometric information with tradeoff analysis between the both recognition accuracy and energy consumption in multimedia IoT (Internet of Things) transmission environments. We select the facial information among biometric information, and especially consider the multicore-based mobile devices. Based on our experimental results, we prove that the proposed approach can enhance the energy efficiency of GABOR+LBP+GRAY VALUE, GABOR+LBP, GABOR, and LBP by factors of 6.8, 3.6, 3.6, and 2.4 over the baseline, respectively, while satisfying user's face recognition accuracy.


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Cite this article

[IEEE Style]
Sungju Lee, Jaewon Sa, Hyeonjoong Cho and Daihee Park, "Energy-Efficient Biometrics-Based Remote User Authentication for Mobile Multimedia IoT Application," KSII Transactions on Internet and Information Systems, vol. 11, no. 12, pp. 6152-6168, 2017. DOI: 10.3837/tiis.2017.12.025

[ACM Style]
Lee, S., Sa, J., Cho, H., and Park, D. 2017. Energy-Efficient Biometrics-Based Remote User Authentication for Mobile Multimedia IoT Application. KSII Transactions on Internet and Information Systems, 11, 12, (2017), 6152-6168. DOI: 10.3837/tiis.2017.12.025