The Internet of Things (IoT) market has grown to over $1 trillion, with smart consumer devices becoming increasingly common in homes. This growth raises important research questions about security, privacy, and network performance.

The IoT Lab replicates home broadband networks in a laboratory setting to study these issues. The lab hosts a variety of IoT devices with an isolated, dedicated internet connection. Students and researchers can experiment with network traffic datasets, apply machine learning techniques, and develop new applications. Single board computers enable traffic monitoring and security research across all connected devices.

Available Devices

• Bose SoundTouch 30
• Google Home
• Amazon Alexa
• Jetson Nano Single Board Computer
• Google Coral Single Board Computer
• Raspberry Pi4
• Intel Neural Compute USB Stick2
• Google Coral USB Accelerator
• Samsung Fridge
• Samsung SmartThings (Hub and Sensors)
• Phillips Hue (Hub and Sensors)

Publications

• Weijia He, Kevin Bryson, Ricardo Calderon, Vijay Prakash, Nick Feamster, Danny Yuxing Huang, Blase Ur. Can Allowlists Capture the Variability of Home IoT Device Network Behavior? IEEE European Symposium on Security and Privacy (EuroS&P), 2024.
• Tejas Kannan, Synthia Qia Wang, Max Sunog, Abraham Bueno de Mesquita, Nick Feamster, Henry Hoffmann. Acoustic Keystroke Leakage on Smart Televisions. Network and Distributed System Security Symposium (NDSS), 2024.
• Shinan Liu, Tarun Mangla, Ted Shaowang, Jinjin Zhao, John Paparrizos, Sanjay Krishnan, Nick Feamster. AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic in Connected Environments. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), 2023.
• Stefany Cruz, Logan Danek, Shinan Liu, Christopher Kraemer, Zixin Wang, Nick Feamster, Danny Yuxing Huang, Yaxing Yao, Josiah Hester. Toward Identifying Home Privacy Leaks Using Augmented Reality. Symposium on Usable Security and Privacy (USEC), 2023.
• Tejas Kannan, Nick Feamster, Henry Hoffmann. Prediction Privacy in Distributed Multi-Exit Neural Networks. ACM Conference on Computer and Communications Security (CCS), 2023.
• Danny Yuxing Huang, Noah Apthorpe, Frank Li, Gunes Acar, Nick Feamster. IoT Inspector: Crowdsourcing Labeled Network Traffic from Smart Home Devices at Scale. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/UbiComp), 2020.
• Hooman Moghaddam, Gunes Acar, Arunesh Mathur, Danny Yuxing Huang, Ben Burgess, Prateek Mittal, Nick Feamster, Arvind Narayanan, Ed Felten. Watching You Watch: The Tracking Ecosystem of Over-the-Top TV Streaming Devices. ACM Conference on Computer and Communications Security (CCS), 2019.
• Noah Apthorpe, Danny Yuxing Huang, Dillon Reisman, Arvind Narayanan, Nick Feamster. Keeping the Smart Home Private with Smart(er) Traffic Shaping. Symposium on Privacy Enhancing Technologies (PETS), 2019.
• Noah Apthorpe, Yan Shvartzshnaider, Nick Feamster, Helen Nissenbaum. Going Against the (Appropriate) Flow: A Contextual Integrity Approach to Privacy Policy Analysis. AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2019.
• Noah Apthorpe, Sarah Varghese, Nick Feamster. Evaluating the Contextual Integrity of Privacy Regulation: Parents' IoT Toy Privacy Norms Versus COPPA. USENIX Security Symposium, 2019.
• Serena Zheng, Noah Apthorpe, Marshini Chetty, Nick Feamster. User Perceptions of Smart Home IoT Privacy. ACM Conference on Computer Supported Cooperative Work (CSCW), 2018.
• Gordon Chu, Noah Apthorpe, Nick Feamster. Security and Privacy Analyses of Internet of Things Children's Toys. IEEE Internet of Things Journal, 2018.
• Noah Apthorpe, Yan Shvartzshnaider, Dillon Reisman, Nick Feamster. Discovering Smart Home IoT Privacy Norms using Contextual Integrity. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2018.
• Trisha Datta, Noah Apthorpe, Nick Feamster. A Developer-Friendly Library for Smart Home IoT Privacy-Preserving Traffic Obfuscation. ACM SIGCOMM Workshop on IoT Security and Privacy, 2018.
• Gunes Acar, Danny Yuxing Huang, Frank Li, Arvind Narayanan, Nick Feamster. Web-based Attacks to Discover and Control Local IoT Devices. ACM SIGCOMM Workshop on IoT Security and Privacy, 2018.
• Rohan Doshi, Noah Apthorpe, Nick Feamster. Machine Learning DDoS Detection for Consumer Internet of Things Devices. IEEE Security and Privacy Deep Learning and Security Workshop, 2018.
• Daniel Wood, Noah Apthorpe, Nick Feamster. Cleartext Data Transmission in Consumer IoT Medical Devices. ACM CCS Workshop on IoT Security and Privacy, 2017.
• Noah Apthorpe, Dillon Reisman, Nick Feamster. Closing the Blinds: Four Strategies for Protecting Smart Home Privacy from Network Observers. IEEE Workshop on Technology and Consumer Protection (ConPro), 2017.
• Noah Apthorpe, Dillon Reisman, Nick Feamster. A Smart Home is No Castle: Privacy Vulnerabilities of Encrypted IoT Traffic. Workshop on Data and Algorithmic Transparency (DAT), 2016.

Media Coverage

Research findings from the IoT Lab have been featured in:

Also covered by The Atlantic, The Verge, TechCrunch, Fast Company, Gizmodo, and CBC News.