Previous studies have demonstrated that commonly studied (vanilla) touch-based continuous authentication systems (V-TCAS) are susceptible to population attack. This paper proposes a novel Generative Adversarial Network assisted TCAS (G-TCAS) framework, which showed more resilience to the population attack. G-TCAS framework was tested on a dataset of 117 users who interacted with a smartphone and tablet pair. On average, the increase in the false accept rates (FARs) for V-TCAS was much higher (22%) than G-TCAS (13%) for the smartphone. Likewise, the increase in the FARs for V-TCAS was 25% compared to G-TCAS (6%) for the tablet.

中文翻译：

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使用生成对抗网络保护基于触摸的连续身份验证系统免受主动攻击者的攻击

先前的研究表明，普遍研究的（香草）基于触摸的连续身份验证系统 (V-TCAS) 容易受到群体攻击。本文提出了一种新颖的生成对抗网络辅助 TCAS (G-TCAS) 框架，该框架对群体攻击表现出更强的弹性。G-TCAS 框架在 117 名与智能手机和平板电脑交互的用户的数据集上进行了测试。平均而言，V-TCAS 的误接受率 (FAR) 的增幅 (22%) 远高于智能手机的 G-TCAS (13%)。同样，与片剂的 G-TCAS (6%) 相比，V-TCAS 的 FAR 增加了 25%。