Three-Level Pressure-Based Authentication on Touch Screens

IF 4.4 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Zhenhua Yang;Tianyi Liang;Jun Kong;Juan Li;Tongxin Shi
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Abstract

Since pressure is invisible in nature, it has been applied to enhance the authentication security. However, previous work focused on only two-level pressure detection, which makes it feasible for an attacker to guess a pressure level from a user's pressing behavior in the shoulder surfing attack. To mitigate the above risk, this article extends pressure-based authentication from two levels to three levels. It systematically evaluates its usability and security with 98 young adults in a mid-west university in two user studies. The first study with 67 participants showed that a three-level pressure-based password did not increase the difficulty of memorization, and it was more resistant to the shoulder surfing attack than a two-level pressure-based password (two-level = 79.39% successful attacks versus three-level = 44.71% successful attacks). However, three-level passwords have a higher false negative rate than two-level passwords, which implies that users lack a consistent pressing pattern on the medium level. To address the above issue, we designed an adaptive training process that assists users in forming a consistent pressing pattern. The training process features an automatic detection of consistent pressing patterns, which potentially reduces the training length. The second user study, with 31 participants, indicated that the false negative rate in three-level passwords is decreased significantly after the training from 59.90% to 2.15%, while maintaining a reasonable false acceptance rate of 20%.
基于触摸屏的三级压力认证
由于压力在本质上是不可见的,因此它被用于增强认证安全性。然而,以前的工作只关注两级压力检测,这使得攻击者可以从用户在肩部冲浪攻击中的按压行为中猜测压力级别。为了减轻上述风险,本文将基于压力的身份验证从两个级别扩展到三个级别。它在两项用户研究中系统地评估了中西部一所大学的98名年轻人的可用性和安全性。第一项有67名参与者的研究表明,三级压力密码并没有增加记忆难度,而且它比二级压力密码更能抵抗肩部冲浪攻击(二级= 79.39%成功攻击,三级= 44.71%成功攻击)。但是,三级密码的假阴性率高于二级密码,这意味着用户在中等级别上缺乏一致的按压模式。为了解决上述问题,我们设计了一个自适应训练过程,帮助用户形成一致的按压模式。训练过程的特点是自动检测一致的按压模式,这可能会减少训练长度。第二次用户研究共有31名参与者,结果表明,经过培训,三级密码的误报率从59.90%明显下降到2.15%,同时保持20%的合理误接受率。
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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来源期刊
IEEE Transactions on Human-Machine Systems
IEEE Transactions on Human-Machine Systems COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, CYBERNETICS
CiteScore
7.10
自引率
11.10%
发文量
136
期刊介绍: The scope of the IEEE Transactions on Human-Machine Systems includes the fields of human machine systems. It covers human systems and human organizational interactions including cognitive ergonomics, system test and evaluation, and human information processing concerns in systems and organizations.
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