Online Signature Verification Algorithm Using Hill-Climbing Method

D. Muramatsu
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引用次数: 11

Abstract

Attacks using hill-climbing methods have been reported as a vulnerability of biometric authentication systems. In this paper, the author proposes a robust online signature verification algorithm against attacks using the hill-climbing method. Specifically, the attack considered in this paper is a hill-climbing forged data attack. Artificial forgeries are generated by using the hill-climbing method and the forgeries are input to a target system to be attacked. In order to generate a robust algorithm, the author proposes incorporating the hill-climbing method into an online signature verification algorithm. Preliminary experiments were performed using several online signature databases. The results show that the proposed algorithm improved the performance against this kind of attack. Equal Error Rate (EER) was improved from 88.3% to 1.2% when using a private database for evaluation.
基于爬坡法的在线签名验证算法
据报道,利用爬坡方法的攻击是生物识别认证系统的一个漏洞。在本文中,作者提出了一种鲁棒的在线签名验证算法,该算法使用爬坡方法来抵御攻击。具体来说,本文考虑的攻击是爬山式伪造数据攻击。利用爬坡法生成人工伪造物,并将伪造物输入目标系统进行攻击。为了生成一个鲁棒的算法,作者提出将爬坡方法引入到在线签名验证算法中。利用几个在线特征库进行了初步实验。结果表明,该算法提高了对此类攻击的性能。当使用私有数据库进行评估时,相等错误率(EER)从88.3%提高到1.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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