An open-source desktop tool with a one-click install process
Automatically discovers IoT devices and analyzes their network traffic
Helps you identify security and privacy issues with graphs and tables
Requires minimal technical skills and no special hardware
Use it to quickly inspect devices (e.g., from your computer) or continuously monitor your network (e.g., from a Raspberry Pi)
Note: The video below contains no audio.
We are a group of researchers at Princeton University, New York University, University of Chicago, Georgia Tech, University of Illinois at Urbana-Champaign, KU Leuven, and Colgate University.
We analyze different IoT devices in the Smart House and examine security/privacy problems. Here is an overview of what we do.
We try to answer these questions:
Who do your devices talk to? We find what third-party services different smart devices are talking to.
What information is gathered? We learn what information these devices are gathering and if the information is shared.
Are the devices hacked? We develop anomaly detection algorithms to check if the behavior of a device is different from similar devices of other users.
Watching You Watch: The Tracking Ecosystem of Over-the-Top TV Streaming Devices Hooman Mohajeri Moghaddam, Gunes Acar, Ben Burgess, Arunesh Mathur, Danny Yuxing Huang, Nick Feamster, Edward W. Felten, Prateek Mittal, Arvind Narayanan. ACM Conference on Computer and Communications Security (CCS). 2019.
We are a group of computer scientists from Princeton University, University of Chicago, Georgia Tech, University of Illinois at Urbana-Champaign, and KU Leuven.
If you have any questions, email us at firstname.lastname@example.org.