Adversarial Localization against Wireless Cameras
Adversarial Localization against Wireless Cameras
复制标题
针对无线摄像头的对抗性定位
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Haitao Zheng
中科院分区：
文献类型：
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作者：
Zhijing Li;Zhujun Xiao;Yanzi Zhu;Irene Pattarachanyakul;Ben Y. Zhao;Haitao Zheng
本文识别并实证评估了针对无线物联网设备的对抗性定位攻击的有效性，例如，家里的无线监控摄像头我们使用家庭和办公室环境中的实验来证明，攻击者可以准确地确定WiFi摄像头的位置，使用少量的隐形，被动，外部测量加上无监督学习技术。我们还表明，目前的防御措施对这些攻击的影响最小，也很容易通过对策规避。因此，需要大量的工作来开发针对这些攻击的强大防御。
This paper identifies and empirically evaluates the effectiveness of adversarial localization attacks against wireless IoT devices, e.g., wireless security cameras in the home. We use experiments in home and office settings to show that attackers can accurately pinpoint the location of WiFi cameras, using a small amount of stealthy, passive, exterior measurements coupled with unsupervised learning techniques. We also show that current defenses have minimal impact against these attacks, and are also easily circumvented via countermeasures. Thus significant work is needed to develop robust defenses against these attacks.