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Security Checking of Trigger-Action-Programming Smart Home Integrations

Lei Bu, Qiuping Zhang, Suwan Li, Jinglin Dai, Guangdong Bai, Kai Chen, Xuandong Li

2023Year
7Citations
1Top-tier citations

Abstract

Internet of Things (IoT) has become prevalent in various fields, especially in the context of home automation (HA). To better control HA-IoT devices, especially to integrate several devices for rich smart functionalities, trigger-action programming, such as the If This Then That (IFTTT), has become a popular paradigm. Leveraging it, novice users can easily specify their intent in applets regarding how to control a device/service through another once a specific condition is met. Nevertheless, the users may design IFTTT-style integrations inappropriately, due to lack of security experience or unawareness of the security impact of cyber-attacks against individual devices. This has caused financial loss, privacy leakage, unauthorized access and other security issues. To address these problems, this work proposes a systematic framework named MEDIC to model smart home integrations and check their security. It automatically generates models incorporating the service/device behaviors and action rules of the applets, while taking into consideration the external attacks and in-device vulnerabilities. Our approach takes around one second to complete the modeling and checking of one integration. We carried out experiments based on 200 integrations created from a user study and a dataset crawled from ifttt.com. To our great surprise, nearly 83% of these integrations have security issues.

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