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

Haotian Chi, Qiang Zeng, Xiaojiang Du

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication32nd USENIX Security Symposium, USENIX Security 2023
Pages1559-1576
Number of pages18
ISBN (Electronic)9781713879497
StatePublished - 2023
Event32nd USENIX Security Symposium, USENIX Security 2023 - Anaheim, United States
Duration: 9 Aug 202311 Aug 2023

Publication series

Name32nd USENIX Security Symposium, USENIX Security 2023
Volume3

Conference

Conference32nd USENIX Security Symposium, USENIX Security 2023
Country/TerritoryUnited States
CityAnaheim
Period9/08/2311/08/23

Fingerprint

Dive into the research topics of 'Detecting and Handling IoT Interaction Threats in Multi-Platform Multi-Control-Channel Smart Homes'. Together they form a unique fingerprint.

Cite this