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Simulation And Experimental Studies On Fuzzy Vault Fingerprint Cryptography

机译:模糊保险库指纹密码学的仿真与实验研究

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摘要

Fuzzy vault cryptography relies on the error-correcting capabilities of the underlying error-correction code (typically, Reed-Solomon). Therefore, any application of such a system can tolerate only a limited number of errors associated with the true data points. For fingerprint vault systems, poor alignment can cause valid extracted minutiae (true data points) to be regarded as errors because they are outside the matching threshold. Attempting to overcome this problem by increasing the matching threshold may result in additional matching of false (chaff) points in the vault, depending on the density of points in the vault. A simulation study was conducted in order to determine acceptable parameters and thresholds for a fingerprint vault cryptographic system to function successfully. Simulation results show that the variation of repeatable minutiae points must be below the matching threshold of the system for acceptable performance and therefore improving the quality of fingerprint alignment is critical to a successful implementation of the method. An experimental study was also conducted to confirm that if fingerprint alignment is not carefully considered, the fuzzy vault system for fingerprints is prone to failure.
机译:模糊库密码技术依赖于基础纠错码(通常是Reed-Solomon)的纠错能力。因此,这种系统的任何应用只能容忍与真实数据点相关的有限数量的错误。对于指纹库系统,对齐不当会导致有效提取的细节(真实数据点)被视为错误,因为它们超出了匹配阈值。尝试通过增加匹配阈值来克服此问题,可能导致保险库中虚假(断层)点的其他匹配,具体取决于保险库中点的密度。为了确定指纹库密码系统成功运行的可接受参数和阈值,进行了模拟研究。仿真结果表明,可重复的细节点的变化必须低于系统的匹配阈值才能达到可接受的性能,因此,提高指纹比对的质量对于成功实施该方法至关重要。还进行了一项实验研究,以确认如果不仔细考虑指纹对齐方式,则指纹的模糊保险库系统很容易发生故障。

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