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Genetic algorithm attack on minutiae-based fingerprint authentication and protected template fingerprint systems

机译:基于微生素的指纹认证和保护模板指纹系统的遗传算法攻击

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This paper describes a new generic attack against minutiae-based fingerprint authentication systems. The goal of the attack is to construct a fingerprint minutiae template that matches a fixed but unknown reference template. The effectiveness of our attacking system is experimentally demonstrated against multiple fingerprint authentication systems. The paper discusses this attack on two leading privacy-enhanced template schemes and shows it can easily recover high matching score templates. A more general and novel aspect of our work is showing that despite high scores of the attack, the resulting templates do not match the original fingerprint and therefore the underlying data is still privacy protected. We conjecture that the ambiguity caused by collisions from projections/hashing during the privacy-enhanced template production provides for a multitude of minima, which trap attacks in a high-score but non-authentic region.
机译:本文介绍了对基于Minutiae的指纹认证系统的新泛型攻击。攻击的目标是构造一个指纹的Minutiae模板,它与固定但未知的参考模板匹配。通过针对多个指纹认证系统进行实验证明我们的攻击系统的有效性。本文讨论了对两个领先的隐私增强模板方案的攻击,并显示它可以轻松恢复高匹配的分数模板。我们工作的更常见和新颖的方面表明,尽管攻击的得分高,但结果模板与原始指纹不匹配,因此底层数据仍然是隐私​​保护。我们猜想在隐私增强模板生产期间从预测/散列碰撞引起的歧义提供了多种最小值,其在高分但非真实区域中陷入攻击。

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