Detecting and Handling IoT Interaction Threats in Multi-Platform Multi-Control-Channel Smart Homes

Detecting and Handling IoT Interaction Threats in Multi-Platform Multi-Control-Channel Smart Homes
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发表时间:
2023
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通讯作者:
Haotian Chi;Qiang Zeng;Xiaojiang Du
Haotian Chi;Qiang Zeng;Xiaojiang Du
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其他
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作者:
Haotian Chi;Qiang Zeng;Xiaojiang Du

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智能家居涉及各种实体,如物联网设备、自动化应用程序、人类、语音助手和伴侣应用程序。这些实体在相同的物理环境中相互作用,这可能产生不良甚至危险的结果,称为物联网交互威胁。关于交互威胁的现有工作仅限于考虑自动化应用程序,而忽略了其他物联网控制渠道,如语音命令、配套应用程序和物理操作。其次,智能家居使用多个物联网平台变得越来越普遍,每个平台都有设备状态的部分视图,并可能发出冲突的命令。第三,与检测交互威胁相比,对其处理的研究要少得多。先前的工作使用通用的处理策略,不太可能适合所有家庭。我们现在的I O TM编辑器,它提供准确的威胁检测和多平台多控制通道家庭的威胁定制处理。我们在两个现实世界的家庭评估表明,I O TM编辑器显着优于先前的最先进的工作。
A smart home involves a variety of entities, such as IoT devices, automation applications, humans, voice assistants, and companion apps. These entities interact in the same physical environment, which can yield undesirable and even hazardous results, called IoT interaction threats . Existing work on interaction threats is limited to considering automation apps, ignoring other IoT control channels, such as voice commands, companion apps, and physical operations. Second, it becomes increasingly common that a smart home utilizes multiple IoT platforms, each of which has a partial view of device states and may issue conflicting commands. Third, compared to detecting interaction threats, their handling is much less studied. Prior work uses generic handling policies, which are unlikely to fit all homes. We present I O TM EDIATOR , which provides accurate threat detection and threat-tailored handling in multi-platform multi-control-channel homes. Our evaluation in two real-world homes demonstrates that I O TM EDIATOR significantly outperforms prior state-of-the-art work.