A cancellable and fuzzy fingerprint scheme for mobile computing security

Yang, Wencheng; Xi, Kai; Li, Cai

doi:10.1063/1.4756448

Cited by 1 publication

(1 citation statement)

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“…Two basic indicators have been defined to evaluate the recognition accuracy of a biometric authentication system, namely, the false rejection rate (FRR) and the false acceptance rate (FAR) [8]. FRR is the measure of the likelihood that the system wrongly rejects an access attempt of an authorized user and can be calculated by the number of false rejections divided by the total number of genuine attempts.…”

Section: Bmentioning

confidence: 99%

Biometrics for securing mobile payments: Benefits, challenges and solutions

Yang

et al. 2013

2013 6th International Congress on Image and Signal Processing (CISP)

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In this paper, we aim to shed some light on the benefits and challenges brought about by using biometrics for securing mobile payments. Some potential solutions to address the challenges are also proposed and analyzed. Based on our analysis, it is shown that biometric cryptosystems are the suitable choice for providing security protection to biometric templates and enabling a seamless integration with the existing password-based payment systems. Moreover, the employment of stable feature sets or multimodal biometrics is able to improve the recognition accuracy of biometric-based mobile payment systems. Finally, to provide security for mobile payment systems, we propose a secure mobile payment infrastructure which combines a biometric cryptography modal with a time-synchronized onetime password (TOTP) encryption modal.

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Section: Bmentioning

confidence: 99%