This site contains analysis code accompanying the paper "Information Exposure From Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach", in proceedings of the ACM Internet Measurement Conference 2019 (IMC 2019), October, 2019, Amsterdam, Netherlands.
The official paper page can be found at https://moniotrlab.ccis.neu.edu/imc19/. The page contains instructions for requesting access to the full dataset.
The testbed code and documentation can be found at https://moniotrlab.ccis.neu.edu/tools/. Currently it is deployed in both Northeastern University and Imperial College London.
Each subfolder shows samples of processing each PCAP file for destination, encryption and content analysis.
README.md# This filemoniotr/# Code to automate experimentsdestinations/# Code for Section 4. Destination Analysisencryption/# Code for Section 5. Encryption Analysismodel/# Code for Section 6. Content Analysis
We release the traffic (packet headers) from 34,586 controlled experiments and 112 hours of idle IoT traffic..
The naming convention for the data is {country}{-vpn}/{device_name}/{activity_name}/{datetime}.{length}.pcap. For example, us/amcrest-cam-wired/power/2019-04-10_21:32:18.256s.pcap is the traffic collected from device amcrest-cam-wired when power on at the time of 2019-04-10_21:32:18, which lasts 256 seconds in the us lab without VPN.
To obtain access to the dataset please follow the instructions on the paper webpage at https://moniotrlab.ccis.neu.edu/imc19. We require that you agree to the terms of our data sharing agreement. This is out of an abundance of caution to protect any private or security-sensitive information that we were unable to remove from the traces.