UltraSnoop:通过基于智能手机的超声波声纳进行位置无关的击键窥探

IF 3.5 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Yanchao Zhao, Yiming Zhao, Si Li, Hao Han, Linfu Xie
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引用次数: 0

摘要

击键窥探是窃取用户敏感信息的有效手段。最近基于声发射技术的研究大大提高了非专业对手的可及性。然而,这些方法要么需要多个智能手机,要么需要智能手机相对于键盘的特定位置,这极大地限制了应用场景。在本文中,我们提出了UltraSnoop,这是一种无需培训、可转移且与位置无关的方案,它可以通过放置在麦克风和扬声器覆盖范围内的单个智能手机来推断用户的输入。Ultrasnoop的创新之处在于我们提出了一种超声波锚击定位方法和一种MFCCs聚类算法,两者的综合可以推断出智能手机与键盘之间的相对位置。随着按键的TDoA,我们的方法可以推断出按键,甚至随着窥探的进行逐渐提高准确率。我们的实际实验表明,当智能手机放置在距离键盘30-60厘米的范围内时,UltraSnoop可以达到85%以上的top-3窥探精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UltraSnoop: Placement-agnostic Keystroke Snooping via Smartphone-based Ultrasonic Sonar
Keystroke snooping is an effective way to steal sensitive information from the victims. Recent research on acoustic emanation based techniques has greatly improved the accessibility by non-professional adversaries. However, these approaches either require multiple smartphones or require specific placement of the smartphone relative to the keyboards, which tremendously restrict the application scenarios. In this paper, we propose UltraSnoop, a training-free, transferable, and placement-agnostic scheme, which manages to infer user’s input using a single smartphone placed within the range covered by a microphone and speaker. The innovation of Ultrasnoop is that we propose an ultrasonic anchor-keystroke positioning method and an MFCCs clustering algorithm, synthesis of which could infer the relative position between the smartphone and the keyboard. Along with the keystroke TDoA, our method could infer the keystrokes and even gradually improve the accuracy as the snooping proceeds. Our real-world experiments show that UltraSnoop could achieve more than 85% top-3 snooping accuracy when the smartphone is placed within the range of 30-60cm from the keyboard.
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来源期刊
CiteScore
5.20
自引率
3.70%
发文量
0
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