| Title | An End-to-End System for Monitoring IoT Devices in Smart Homes |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Erkert, Keith, Lamontagne, Andrew, Chen, Jereming, Cummings, John, Hoikka, Mitchell, Xu, Kuai, Wang, Feng |
| Conference Name | 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC) |
| Keywords | cloud computing, Internet of Things, Predictive Metrics, Protocols, pubcrawl, Resiliency, Router Systems Security, Smart homes, telecommunication traffic, visualization, Wireless communication |
| Abstract | The technology advance and convergence of cyber physical systems, smart sensors, short-range wireless communications, cloud computing, and smartphone apps have driven the proliferation of Internet of things (IoT) devices in smart homes and smart industry. In light of the high heterogeneity of IoT system, the prevalence of system vulnerabilities in IoT devices and applications, and the broad attack surface across the entire IoT protocol stack, a fundamental and urgent research problem of IoT security is how to effectively collect, analyze, extract, model, and visualize the massive network traffic of IoT devices for understanding what is happening to IoT devices. Towards this end, this paper develops and demonstrates an end-to-end system with three key components, i.e., the IoT network traffic monitoring system via programmable home routers, the backend IoT traffic behavior analysis system in the cloud, and the frontend IoT visualization system via smartphone apps, for monitoring, analyzing and virtualizing network traffic behavior of heterogeneous IoT devices in smart homes. The main contributions of this demonstration paper is to present a novel system with an end-to-end process of collecting, analyzing and visualizing IoT network traffic in smart homes. |
| DOI | 10.1109/CCNC49033.2022.9700731 |
| Citation Key | erkert_end–end_2022 |
An End-to-End System for Monitoring IoT Devices in Smart Homes