论文标题
Gantouch：用于基于触摸的连续身份验证系统的攻击框架
GANTouch: An Attack-Resilient Framework for Touch-based Continuous Authentication System
论文作者
论文摘要
先前的研究表明，基于触摸的连续身份验证系统（V-TCA）的常见研究（香草）实现容易受到主动的对抗尝试。这项研究提出了一种新型的生成对抗网络辅助TCA（G-TCAS）框架，并将其与三个主动对抗环境的VIZ进行比较。零富特性，人口和随机载体。零劳动环境以两种变体实施。零富特（同上）和零富特（交叉数据）。第一个涉及来自同一数据集的零富攻击，而第二个使用了三个不同的数据集。在人群和随机载体下，G-TCAs比V-TCA显示出更大的弹性，比零（零）更具破坏性的对抗情况。平均而言，V-TCA的错误接受率（FARS）的增加高得多（27.5％和21.5％）的人口和随机载体攻击的G-TCA分别高于G-TCA（14％和12.5％）。此外，我们对不同性别的TCA进行了公平分析，发现TCA在各个性别中都公平。研究结果表明，我们应该在主动的对抗环境下评估TCA，并肯定gan在TCAS管道中的有用性。
Previous studies have shown that commonly studied (vanilla) implementations of touch-based continuous authentication systems (V-TCAS) are susceptible to active adversarial attempts. This study presents a novel Generative Adversarial Network assisted TCAS (G-TCAS) framework and compares it to the V-TCAS under three active adversarial environments viz. Zero-effort, Population, and Random-vector. The Zero-effort environment was implemented in two variations viz. Zero-effort (same-dataset) and Zero-effort (cross-dataset). The first involved a Zero-effort attack from the same dataset, while the second used three different datasets. G-TCAS showed more resilience than V-TCAS under the Population and Random-vector, the more damaging adversarial scenarios than the Zero-effort. On average, the increase in the false accept rates (FARs) for V-TCAS was much higher (27.5% and 21.5%) than for G-TCAS (14% and 12.5%) for Population and Random-vector attacks, respectively. Moreover, we performed a fairness analysis of TCAS for different genders and found TCAS to be fair across genders. The findings suggest that we should evaluate TCAS under active adversarial environments and affirm the usefulness of GANs in the TCAS pipeline.
