简而言之:智能手机:不够智能?

I. Fischer, C. Kuo, Ling Huang, Mario Frank
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引用次数: 20

摘要

今天的移动设备充满了能够收集丰富上下文信息的传感器,例如位置、无线设备签名、环境噪声和照片。本文建议安全社区重新设计移动设备上用户的身份验证机制。我们应该使用上下文信息来开发更细致的模型,以评估用户当前环境的风险水平,而不是依赖于一个简单的、最坏情况的威胁模型。这将允许我们减少或消除在某些情况下验证所需的用户交互级别,从而在不影响安全性的情况下提高可用性。理想情况下,身份验证机制将扩大或缩小,以匹配用户对其环境的心理威胁模型。我们概述了几个场景,演示如何使用上下文信息来评估风险和调整身份验证机制。这是一个研究丰富的领域,我们概述了使用上下文信息开发和评估动态安全机制的未来研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Short paper: smartphones: not smart enough?
Today's mobile devices are packed with sensors that are capable of gathering rich contextual information, such as location, wireless device signatures, ambient noise, and photographs. This paper exhorts the security community to re-design authentication mechanisms for users on mobile devices. Instead of relying on one simplistic, worst-case threat model, we should use contextual information to develop more nuanced models that assess the risk level of the user's current environment. This would allow us to decrease or eliminate the level of user interaction required to authenticate in some situations, improving usability without any effective impact on security. Ideally, authentication mechanisms will scale up or down to match users' own mental threat models of their environments. We sketch out several scenarios demonstrating how contextual information can be used to assess risks and adapt authentication mechanisms. This is a research-rich area, and we outline future research directions for developing and evaluating dynamic security mechanisms using contextual information.
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