Characterization of Google Home Traffic in a Home Network

Vladimir Aguilar, Hernan Madrigal, Jose Miguel Mesen, Adrián Lara
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Abstract

IoT devices are currently getting into our everyday life. However, most of the people are not aware of the information that is being shared by these devices on the Internet, or how do they impact their home network. We used a software-defined network within a real home environment to collect, analyze and characterize the traffic generated by Google Home. We used the Zodiac FX switch, a low-cost OpenFlow-compliant switch. After the data collection and analysis, we characterize Google Home’s behavior to provide insight on traffic behaviour, bandwidth consumption and commonly used protocols. Our results confirm what recent studies have indicated: a network provider can easily identify the presence of a Google Home in the network and can identify whether or not the device is being used. Thus, we propose how to leverage a low-cost SDN home network to reduce the amount of private information that is leaked to the service provider.
家庭网络中Google Home流量的表征
物联网设备目前正在进入我们的日常生活。然而,大多数人并没有意识到这些设备在互联网上共享的信息,或者它们是如何影响他们的家庭网络的。我们在真实的家庭环境中使用了一个软件定义的网络来收集、分析和描述Google home产生的流量。我们使用了Zodiac FX交换机,这是一款低成本的openflow兼容交换机。在数据收集和分析之后,我们对Google Home的行为进行了描述,以提供对流量行为、带宽消耗和常用协议的洞察。我们的研究结果证实了最近的研究表明:网络提供商可以很容易地识别出网络中是否存在Google Home,并且可以识别出该设备是否正在使用。因此,我们建议如何利用低成本的SDN家庭网络来减少泄露给服务提供商的私人信息的数量。
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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