论文标题

标记解决方案,可以在公寓中发现物联网设备

A Tagging Solution to Discover IoT Devices in Apartments

论文作者

Kaplan, Berkay, Qian, Jingyu, Lopez-Toledo, Israel J, Gunter, Carl A.

论文摘要

智能家居中的物联网设备的数量正在增加。这种广泛的采用有助于用户的生活,但也带来了问题。一个问题是,某些物联网设备可能会侵犯用户的隐私。这种入侵的某些原因可能源于模糊的数据收集实践或隐藏的设备。特定的物联网设备可以看不见,并且仍然收集用户数据以通过Internet发送到第三方。业主可以很容易地忘记这些设备的位置,甚至可以忘记这些设备的存在,尤其是当业主是管理多个物业的房东时。房东拥有者方案在设计师为单个用户建造机器时会产生多用户问题。我们开发了使用无线协议,蜂鸣器和LED照明的标签,以引导用户在共享空间中发现设备发现的问题并容纳多用户方案。它们在安装过程中附着在设备内的IoT设备上,以后被租户发现。这些标签具有与流行的瓷砖模型或Airtag相似的功能,但是根据我们的隐私用例,我们的标签具有不同的功能。我们的标签不需要配对;多个用户可以通过我们的Android应用程序与它们进行交互。尽管研究人员开发了其他几种工具,例如热摄像机或虚拟现实(VR),用于在环境中发现设备,但他们尚未使用无线协议作为解决方案。我们测量了标签的特定性能指标,以分析其对此问题的可行性。我们还进行了一项用户研究,以测量参与者的舒适度,同时使用附加标签找到对象。我们的结果表明,无线标签对于住宅属性中的设备跟踪可能是可行的。

The number of IoT devices in smart homes is increasing. This broad adoption facilitates users' lives, but it also brings problems. One such issue is that some IoT devices may invade users' privacy. Some reasons for this invasion can stem from obscure data collection practices or hidden devices. Specific IoT devices can exist out of sight and still collect user data to send to third parties via the Internet. Owners can easily forget the location or even the existence of these devices, especially if the owner is a landlord who manages several properties. The landlord-owner scenario creates multi-user problems as designers build machines for single users. We developed tags that use wireless protocols, buzzers, and LED lighting to lead users to solve the issue of device discovery in shared spaces and accommodate multi-user scenarios. They are attached to IoT devices inside a unit during their installation to be later discovered by a tenant. These tags have similar functionalities as the popular Tile models or Airtag, but our tags have different features based on our privacy use case. Our tags do not require pairing; multiple users can interact with them through our Android application. Although researchers developed several other tools, such as thermal cameras or virtual reality (VR), for discovering devices in environments, they have not used wireless protocols as a solution. We measured specific performance metrics of our tags to analyze their feasibility for this problem. We also conducted a user study to measure the participants' comfort levels while finding objects with our tags attached. Our results indicate that wireless tags can be viable for device tracking in residential properties.

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