CR is currently building a next-gen IoT product labeling system to help consumers make informed decisions about the security and privacy of their IoT devices. We are seeking thought partners, advisors and mentors to help support the CR design of an IoT product label. If you’re interested in working with CR on this, drop us a line at innovationlab@cr.consumer.org so
Summary. Accurately identifying IoT devices is a difficult problem. We walk through some of the successes and failures. (You can find Part 1 of this seris at this link.) Problem 2: How to identify IoT devices? Main problem. Let’s say you’re using IoT Inspector for the first time. You have dozens of smart devices. You scan your home network with IoT Inspector.
I’m Danny Y. Huang, an Assistant Professor at the Center for Cyber Security at New York University Tandon School of Engineering. Recently, I was awarded the Consumer Reports Digital Labs Fellowship. I’m the main developer of IoT Inspector, an open-source desktop app that allows users to identify potential security and privacy vulnerabilities in their smart homes. My team and I
Internet of Things (IoT) devices are increasingly found in homes, providing useful functionality and convenience, such as smart speakers, TVs, and video doorbells. Along with their benefits come potential risks, since these devices can communicate information (audio recordings, television viewing habits, video recordings, etc.) about their users to other parties over the Internet. To help understand and mitigate these risks,
