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Code and data for the CCS'19 paper "Watching You Watch: The Tracking Ecosystem of Over-the-TopTV Streaming Devices"

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Overview

This repository contains code for the ACM CCS'19 paper "Watching You Watch: The Tracking Ecosystem of Over-the-Top TV Streaming Devices"

Find out more about our research on the paper's website: https://tv-watches-you.princeton.edu/

Overview of our smart OTT crawler

Repo Structure

  • scrape: Code for interacting with OTTs and capturing network traffic. See the README in scrape folder for instructions.
  • src: Analysis code. See the README in src.
  • tls-fingerprints: TLS fingerprinting code. See the README in tls-fingerprints folder for instructions.

Data requests

You can fill in this form to request the data from the study.

Citation

You can use the following BibTeX entry to cite our paper:

@inproceedings{Mohajeri2019ott-tracking,
 author = {Mohajeri Moghaddam, Hooman and Acar, Gunes and Burgess, Ben and Mathur, Arunesh and Huang, Danny Yuxing and Feamster, Nick and Felten, Edward W. and Mittal, Prateek and Narayanan, Arvind},
 title = {Watching You Watch: The Tracking Ecosystem of Over-the-Top
TV Streaming Devices},
 booktitle = {Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security},
 series = {CCS '19},
 year = {2019},
 location = {London, UK},
 publisher = {ACM}
}

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Code and data for the CCS'19 paper "Watching You Watch: The Tracking Ecosystem of Over-the-TopTV Streaming Devices"

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  • Jupyter Notebook 72.2%
  • Python 26.1%
  • Shell 1.7%