- February 28, 2020
11:00 am - 12:00 pm
Please join NYU CUSP for our new seminar series, featuring leading voices in the growing field of Urban Informatics.
Our next seminar will feature Danny Huang, Postdoctoral Researcher at Princeton University, for a discussion on “Watching IoTs That Watch Us: Empirically Studying IoT Security & Privacy at Scale.”
Friday, February 28, 2020
11:00am to 12:00pm
1201 Seminar Room
370 Jay Street
Brooklyn, NY 11201
The event is open to the public. Lunch will be provided! Please RSVP below.
Watching IoTs That Watch Us: Empirically Studying IoT Security & Privacy at Scale
Consumers today are increasingly concerned about the security and privacy risks of smart home IoT devices. However, few empirical studies have looked at these problems at scale, partly because a large variety and number of smart-home IoT devices are often closed-source and on private home networks, thus making it difficult for researchers to systematically observe the actual security and privacy issues faced by users in the wild.
In this talk, I describe two methods for researchers to empirically understand these risks to real end-users: (i) crowdsourcing network traffic from thousands of real smart home networks [in submission], and (ii) emulating user-inputs to study how thousands of smart TV apps track viewers [CCS ’19]. Both methods have allowed us to conduct the largest security and privacy studies on smart TVs and other IoT devices to date. Our labeled datasets have also created new opportunities for other research areas, such as machine learning, network management, and healthcare.
Danny Y. Huang is currently a postdoctoral researcher at Princeton. He is broadly interested in the security and privacy of consumer technologies, such as cryptocurrency and IoT. He obtained his PhD in Computer Science and Engineering from University of California, San Diego. For more information, visit http://hdanny.org.