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arXiv 1901.07255cs.CRcs.LG
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物联网中零交互安全的风险

Perils of Zero-Interaction Security in the Internet of Things

TU Darmstadt(达姆施塔特工业大学)

Mikhail Fomichev, Max Maass, Lars Almon, Alejandro Molina, Matthias Hollick

摘要:

物联网(IoT)需要能够提供安全性和可用性的认证系统。最近的研究利用智能设备的丰富传感功能来构建无需人工交互的安全方案,例如零交互配对(ZIP)和零交互身份验证(ZIA)。以前的工作提出了一些ZIP和ZIA计划,并报告了有希望的结果。然而,这些方案通常是在不反映现实物联网场景的条件下进行评估的。此外,由于缺乏通用的公共数据集和无法获得方案实现,因此不可能对现有方案进行任何比较。在本文中,我们通过进行ZIP和ZIA计划的第一次大规模比较研究,在现实条件下进行的,以解决这些挑战。我们收集并发布了迄今为止该领域最全面的数据集,包含来自三种不同场景的超过4250小时的音频记录和10亿个传感器读数,并基于这些数据评估了五种最先进的方案。我们的研究表明,现有提案的有效性在很大程度上取决于它们所使用的场景。特别是,我们表明,这些计划受到出错率在0.6%和52.8%之间。

英文摘要:

The Internet of Things (IoT) demands authentication systems which can provide both security and usability. Recent research utilizes the rich sensing capabilities of smart devices to build security schemes operating without human interaction, such as zero-interaction pairing (ZIP) and zero-interaction authentication (ZIA). Prior work proposed a number of ZIP and ZIA schemes and reported promising results. However, those schemes were often evaluated under conditions which do not reflect realistic IoT scenarios. In addition, drawing any comparison among the existing schemes is impossible due to the lack of a common public dataset and unavailability of scheme implementations. In this paper, we address these challenges by conducting the first large-scale comparative study of ZIP and ZIA schemes, carried out under realistic conditions. We collect and release the most comprehensive dataset in the domain to date, containing over 4250 hours of audio recordings and 1 billion sensor readings from three different scenarios, and evaluate five state-of-the-art schemes based on these data. Our study reveals that the effectiveness of the existing proposals is highly dependent on the scenario they are used in. In particular, we show that these schemes are subject to error rates between 0.6% and 52.8%.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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