Extracting Spatial Information of IoT Device Events for Smart Home Safety Monitoring

Abstract

Smart home IoT devices have been widely deployed and connected to many home networks for various applications such as intelligent home automation, connected healthcare, and security surveillance. The informative network traffic traces generated by IoT devices have enabled recent research advances on smart home network measurement. However, due to the cloud- based communication model of smart home IoT devices and the lack of traffic data collected at the cloud end, little effort has been devoted to extracting the spatial information of IoT device events to determine where a device event is triggered. In this paper, we examine why extracting the device events’ spatial information is challenging by analyzing the communication model of the smart home IoT system. We then propose a system named IoTDuet for determining whether a device event is triggered locally or remotely by utilizing the fact that the controlling devices such as smartphones and tablets always communicate with cloud servers with static domain names when issuing commands from the home network. We further show the importance of extracting the critical spatial information of IoT device events by exploring its applications in smart home safety monitoring.

Xuanli Lin

PhD in Computer Science

My research interests include network optimization, network security, artificial intelligence, and the Internet of Things.