Making the most of what you have! Profiling biometric authentication on mobile devices

Sanka Rasnayaka, Sanjay Saha, T. Sim
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引用次数: 7

Abstract

In order to provide the additional security required by modern mobile devices, biometric methods and Continuous Authentication(CA) systems are getting popular. Most existing work on CA are concerned about achieving higher accuracy or fusing multiple modalities. However, in a mobile environment there are more constraints on the resources available. This work is the first to compare between different biometric modalities based on the resources they use. We do this by determining the Resource Profile Curve (RPC) for each modality. This Curve reveals the trade-off between authentication accuracy and resource usage, and is helpful for different usage scenarios in which a CA system needs to operate. In particular, we explain how a CA system can intelligently switch between RPCs to conserve battery power, memory usage, or to maximize authentication accuracy. We argue that RPCs ought to guide the development of practical CA systems.
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充分利用你所拥有的!分析移动设备上的生物识别认证
为了提供现代移动设备所需的额外安全性,生物识别方法和持续身份验证(CA)系统越来越受欢迎。大多数现有的CA工作都关注于实现更高的精度或融合多模态。然而,在移动环境中,可用资源有更多的限制。这项工作是第一个比较不同的生物识别模式基于他们使用的资源。我们通过确定每种模式的资源概要曲线(RPC)来实现这一点。这条曲线揭示了身份验证准确性和资源使用之间的权衡,对于需要运行CA系统的不同使用场景很有帮助。特别是,我们解释了CA系统如何在rpc之间智能切换,以节省电池电量、内存使用或最大化身份验证准确性。我们认为rpc应该指导实际CA系统的开发。
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