Overcoming invasion of privacy in smart home environment with synthetic packet injection

K. Yoshigoe, Wei Dai, Melissa Abramson, Alexander Jacobs
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引用次数: 41

Abstract

We live in an increasingly connected world where not only can we open our garage doors with sensors, but from a remote location we can also lock our doors, or turn off our lights. Such convenience and flexibility come with great concerns for privacy and security. In this paper, we study privacy of smart home devices in home residence settings and show how homeowner’s privacy could be compromised via simple network traffic analysis. We first measure normal traffic patterns generated on commercial off-the-shelf (COTS) smart home devices, and identify possible privacy vulnerabilities. We designed a smart home hub-integrated solution to mitigate such risk by obscuring real network traffic with synthetic traffic. We suggest that the smart home industry consider incorporating this approach into their products to improve privacy in the smart home environment.
利用合成包注入技术克服智能家居环境中对隐私的侵犯
我们生活在一个日益互联的世界里,我们不仅可以用传感器打开车库门,还可以从远程位置锁门或关灯。这种便利性和灵活性带来了对隐私和安全的极大关注。在本文中,我们研究了智能家居设备在家庭住宅设置中的隐私,并通过简单的网络流量分析展示了房主的隐私如何受到损害。我们首先测量商用现货(COTS)智能家居设备上产生的正常流量模式,并识别可能的隐私漏洞。我们设计了一个智能家居集线器集成解决方案,通过用合成流量掩盖真实网络流量来降低此类风险。我们建议智能家居行业考虑将这种方法纳入其产品中,以改善智能家居环境中的隐私。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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