IoT Inspector

Princeton IoT Inspector 


Our smart devices are watching us

It's time for us to watch them

Download our open-source tool

Works on macOS and Linux (including Raspberry Pi)

Use Windows? Join the waitlist

What is Princeton IoT Inspector?

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)

Learn more: technical report | how we collect data | research findings | source code | slide deck

Media coverage: cbc news | 9to5mac | techcrunch | gizmodo

Note: The video below contains no audio.

About This Project

We are a group of researchers at Princeton University. We analyze different IoT devices in the Smart House and examine security/privacy problems. Here is an overview of what we do.

IoT Smart House - A real, living environment with smart home devices, located on Prospect St, Princeton, NJ.

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.


Selling a Single Item with Negative Externalities (Preprint) Matheus Xavier Ferreira, Danny Yuxing Huang, Tithi Chattopadhyay, Nick Feamster, S. Matthew Weinberg. International World Wide Web Conference (WWW). 2019.

Fast Web-based Attacks to Discover and Control IoT Devices Gunes Acar, Danny Y. Huang, Frank Li, Arvind Narayanan, and Nick Feamster. ACM SIGCOMM Workshop on IoT Security and Privacy. 2018.

Machine Learning DDoS Detection for Consumer Internet of Things Devices Rohan Doshi, Noah Apthorpe, Nick Feamster. IEEE Deep Learning and Security Workshop (DLS). 2018.

Cleartext Data Transmissions in Consumer IoT Medical Devices Daniel Wood, Noah Apthorpe, Nick Feamster. Workshop on Internet of Things Security and Privacy (IoT S&P). 2017

Closing the Blinds: Four Strategies for Protecting Smart Home Privacy from Network Observers Noah Apthorpe, Dillon Reisman, Nick Feamster. Workshop on Technology and Consumer Protection (ConPro). 2017.

A Smart Home is No Castle: Privacy Vulnerabilities of Encrypted IoT Traffic Noah Apthorpe, Dillon Reisman, Nick Feamster. Data and Algorithmic Transparency Workshop (DAT). 2016.

About the Researchers

We are a group of computer scientists from Princeton University and University of California, Berkeley. If you have any questions, email us at