TY - GEN
T1 - Detecting and Handling IoT Interaction Threats in Multi-Platform Multi-Control-Channel Smart Homes
AU - Chi, Haotian
AU - Zeng, Qiang
AU - Du, Xiaojiang
N1 - Publisher Copyright:
© USENIX Security 2023. All rights reserved.
PY - 2023
Y1 - 2023
N2 - 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 IOTMEDIATOR, 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 IOTMEDIATOR significantly outperforms prior state-of-the-art work.
AB - 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 IOTMEDIATOR, 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 IOTMEDIATOR significantly outperforms prior state-of-the-art work.
UR - http://www.scopus.com/inward/record.url?scp=85176094234&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85176094234&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85176094234
T3 - 32nd USENIX Security Symposium, USENIX Security 2023
SP - 1559
EP - 1576
BT - 32nd USENIX Security Symposium, USENIX Security 2023
T2 - 32nd USENIX Security Symposium, USENIX Security 2023
Y2 - 9 August 2023 through 11 August 2023
ER -