Danny Yuxing Huang, New York University
In April 2019, we released IoT Inspector, an open-source tool for everyday consumers to visualize their smart home network traffic and identify potential security and privacy risks. Since then, 5,500+ users have used IoT Inspector to monitor 55,000+ devices and shared a subset of the traffic with us, effectively contributing to the largest known non-proprietary dataset of smart home network traffic.
In this talk, we will discuss some of the practical challenges we faced while maintaining and operating IoT Inspector in the past three years. Unlike our IMWUT/Ubicomp 2020 paper (which focuses on the initial design and preliminary data), this talk will highlight unexpected real-world issues, including identifying devices, communicating risks, allowing users to take actions, incentivizing users, respecting user privacy, and label quality. We hope our lessons will benefit researchers interested in studying real-world security and privacy issues through crowdsourcing
Danny Yuxing Huang, New York University
Danny Yuxing Huang is an Assistant Professor at New York University’s Electrical and Computer Engineering Department. He is generally interested in building networking systems to crowdsource hidden security and privacy issues from real-world consumers. Before joining New York University, he was a postdoctoral fellow at Princeton University’s Center for Information Technology Policy. He obtained his PhD from University of California, San Diego.
author = {Danny Yuxing Huang},
title = {Three Years of Crowdsourcing Network Traffic from Smart Homes},
year = {2022},
address = {Santa Clara, CA},
publisher = {USENIX Association},
month = jun
}
