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Ȩ Ȩ > ¿¬±¸¹®Çå > ¿µ¹® ³í¹®Áö > TIIS (Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ)

TIIS (Çѱ¹ÀÎÅͳÝÁ¤º¸ÇÐȸ)

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) Energy-Efficient Biometrics-Based Remote User Authentication for Mobile Multimedia IoT Application
¿µ¹®Á¦¸ñ(English Title) Energy-Efficient Biometrics-Based Remote User Authentication for Mobile Multimedia IoT Application
ÀúÀÚ(Author) Sungju Lee   Jaewon Sa   Hyeonjoong Cho   Daihee Park  
¿ø¹®¼ö·Ïó(Citation) VOL 11 NO. 12 PP. 6152 ~ 6168 (2017. 12)
Çѱ۳»¿ë
(Korean Abstract)
¿µ¹®³»¿ë
(English 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.
Å°¿öµå(Keyword) Multicore-based handheld device   energy consumption   biometric recognition   image compression   image transmission   tradeoff analysis  
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