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首页> 外文期刊>International Journal of Distributed Sensor Networks >Security Enhancement for Smartphone Using Biometrics in Cyber-Physical Systems
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Security Enhancement for Smartphone Using Biometrics in Cyber-Physical Systems

机译:在网络物理系统中使用生物识别技术的智能手机安全性增强

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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.
机译:随着网络物理系统(CPS)概念的扩展,智能手机已成为构成连接人类和周围物理世界的竞争平台。除了蜂窝电话的通信功能和移动性以外,智能手机还具有各种传感器,与现有蜂窝电话相比,其性能和存储空间大大提高。然而,事实证明,智能手机的“解锁”过程和访问SNS时需要用户密码是智能手机安全性的巨大弱点。因此,应通过生物识别技术来增强智能手机的安全性,以弥补密码的不足。本研究提出了基于细节峰的指纹验证,以增强指纹验证(一种生物识别技术)的安全性,从而提高智能手机的安全性。为了评估建议的基于智能手机的基于细节的脊部指纹验证性能,将其性能与现有的指纹验证方法进行了比较,包括均等错误率(EER),错误非匹配率(FNMR)和所需的循环次数。结果表明,尽管使用该方法所需的循环数增加了1.5%,但EER和FNMR分别提高了53%和92%。

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