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Impact of Embedding Scenarios on the Smart Card-Based Fingerprint Verification

机译:嵌入方案对基于智能卡的指纹验证的影响

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Verification of a person's identity using fingerprint has several advantages over the present practices of Personal Identification Numbers(PINs) and passwords. Also, as the VLSI technology has been improved, the smart card employing 32-bit RISC processors has been released recently. It is possible to consider three strategies to implement the fingerprint system on the smart card environment as how to distribute the modules of the fingerprint verification system between the smart card and the card reader; Store-on-Card, Match-on-Card and System-on-Card. Depending on the scenarios, the security level and the required system resources, such as the processing power and the memory size, are different. However, there is an open issue of integrating fingerprint verification into the smart card because of its limited resources. In this paper, we first evaluate the number of instructions of each step of a typical fingerprint verification algorithm. Then, we estimate the execution times of several cryptographic algorithms to guarantee the security/privacy of the fingerprint data transmitted between the smart card and the card reader. Based on these evaluated results, we propose the most proper scenario to implement the fingerprint verification system on the smart card environment in terms of the security level and the real-time execution requirements.
机译:与目前的个人识别码(PIN)和密码做法相比,使用指纹来验证个人身份具有多个优势。另外,随着VLSI技术的改进,最近发布了采用32位RISC处理器的智能卡。可以考虑在智能卡环境中实现指纹系统的三种策略,即如何在智能卡和读卡器之间分配指纹验证系统的模块。卡上存储,卡上匹配和卡上系统。根据方案,安全级别和所需的系统资源(例如处理能力和内存大小)是不同的。但是,由于其资源有限,将指纹验证集成到智能卡中存在一个开放的问题。在本文中,我们首先评估典型指纹验证算法每个步骤的指令数量。然后,我们估计几种加密算法的执行时间,以确保在智能卡和读卡器之间传输的指纹数据的安全性/私密性。基于这些评估结果,我们就安全级别和实时执行要求方面提出了最合适的方案,以在智能卡环境中实施指纹验证系统。

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