Security Enhancement for Smartphone Using Biometrics in Cyber-Physical Systems

With the expansion of the Cyber-Physical System (CPS) concept, smartphones have come to constitute a competitive platform that connects humans and the surrounding physical world. Along with the communication functions and mobility of cellular phones, smartphones have various sensors in addition to g...

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Main Authors: Seung-Hoon Chae, Daesung Moon, Kyeong-Ri Ko, JuHyun Shin, Sung Bum Pan
Format: Article
Language:English
Published: Wiley 2014-04-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2014/136538
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author Seung-Hoon Chae
Daesung Moon
Kyeong-Ri Ko
JuHyun Shin
Sung Bum Pan
author_facet Seung-Hoon Chae
Daesung Moon
Kyeong-Ri Ko
JuHyun Shin
Sung Bum Pan
author_sort Seung-Hoon Chae
collection DOAJ
description With the expansion of the Cyber-Physical System (CPS) concept, smartphones have come to constitute a competitive platform that connects humans and the surrounding physical world. Along with the communication functions and mobility of cellular phones, smartphones have various sensors in addition to greatly enhanced performances and storage space compared with existing cellular phones. However the “unlock” process of smartphones and the need for user passwords when accessing SNSs prove to be great weaknesses in smartphone security. Therefore, smartphone security should be enhanced through biometrics, which can make up for the shortcomings of passwords. The present study proposes minutiae-ridge based fingerprint verification for enhancing the security of fingerprint verification, a biometrics, to improve smartphone security. To evaluate the proposed minutiae-ridge based fingerprint verification performance in smartphones, its performance was compared with existing fingerprint verification methods in terms of Equal Error Rate (EER), False Non-Match Rate (FNMR), and required number of cycles. The results show that although the required number of cycles increased by 1.5% with the proposed method, EER and FNMR improved by 53% and 92%, respectively.
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publishDate 2014-04-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-52bbd8720724485d8a65ba3e1bd3c9052025-08-20T03:36:34ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-04-011010.1155/2014/136538136538Security Enhancement for Smartphone Using Biometrics in Cyber-Physical SystemsSeung-Hoon Chae0Daesung Moon1Kyeong-Ri Ko2JuHyun Shin3Sung Bum Pan4 The Research Institute of IT, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 501-759, Republic of Korea Electronics and Telecommunications Research Institute, 161 Gajeong-dong, Yuseong-gu, Daejeon 305-350, Republic of Korea Department of Control and Instrumentation Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 501-759, Republic of Korea Department of Control, Instrumentation, and Robot Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 501-759, Republic of Korea Department of Control, Instrumentation, and Robot Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 501-759, Republic of KoreaWith the expansion of the Cyber-Physical System (CPS) concept, smartphones have come to constitute a competitive platform that connects humans and the surrounding physical world. Along with the communication functions and mobility of cellular phones, smartphones have various sensors in addition to greatly enhanced performances and storage space compared with existing cellular phones. However the “unlock” process of smartphones and the need for user passwords when accessing SNSs prove to be great weaknesses in smartphone security. Therefore, smartphone security should be enhanced through biometrics, which can make up for the shortcomings of passwords. The present study proposes minutiae-ridge based fingerprint verification for enhancing the security of fingerprint verification, a biometrics, to improve smartphone security. To evaluate the proposed minutiae-ridge based fingerprint verification performance in smartphones, its performance was compared with existing fingerprint verification methods in terms of Equal Error Rate (EER), False Non-Match Rate (FNMR), and required number of cycles. The results show that although the required number of cycles increased by 1.5% with the proposed method, EER and FNMR improved by 53% and 92%, respectively.https://doi.org/10.1155/2014/136538
spellingShingle Seung-Hoon Chae
Daesung Moon
Kyeong-Ri Ko
JuHyun Shin
Sung Bum Pan
Security Enhancement for Smartphone Using Biometrics in Cyber-Physical Systems
International Journal of Distributed Sensor Networks
title Security Enhancement for Smartphone Using Biometrics in Cyber-Physical Systems
title_full Security Enhancement for Smartphone Using Biometrics in Cyber-Physical Systems
title_fullStr Security Enhancement for Smartphone Using Biometrics in Cyber-Physical Systems
title_full_unstemmed Security Enhancement for Smartphone Using Biometrics in Cyber-Physical Systems
title_short Security Enhancement for Smartphone Using Biometrics in Cyber-Physical Systems
title_sort security enhancement for smartphone using biometrics in cyber physical systems
url https://doi.org/10.1155/2014/136538
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