IMC2024-CookielessBrowsing

This repository contains web crawling and analysis code for the IMC 2024 paper "Browsing without Third-Party Cookies: What Do You See?".

Setup

Only Ubuntu 20.04 LTS is officially supported.

To create the cookie conda environment, execute:

conda env create -f environment.yml

Activate the environment with:

conda activate cookie

To start a crawl, execute:

python3 sbatch_main.py --jobs <number of slurm jobs>

If you do not have Slurm, you can start a single job using main.py.

After crawling, use extract_differences.py to compute differences in extracted features.

To analyze the differences, use classification_algo.ipynb.

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
analysis/KJ2GW		analysis/KJ2GW
archive		archive
bannerclick		bannerclick
injections		injections
inputs		inputs
testcases		testcases
utils		utils
.flake8		.flake8
.gitignore		.gitignore
CITATION.cff		CITATION.cff
README.md		README.md
WORKER_HANG.md		WORKER_HANG.md
categorize.ipynb		categorize.ipynb
classification_algo.ipynb		classification_algo.ipynb
config.py		config.py
count_easylist_requests.py		count_easylist_requests.py
crawler.py		crawler.py
environment.yml		environment.yml
extract_differences.py		extract_differences.py
feature_comparison.py		feature_comparison.py
image_shingle_test.py		image_shingle_test.py
inject.py		inject.py
main.py		main.py
mypy.ini		mypy.ini
only_reject_trackers_analysis.ipynb		only_reject_trackers_analysis.ipynb
sbatch_custom.py		sbatch_custom.py
sbatch_main.py		sbatch_main.py
tracker_analysis.ipynb		tracker_analysis.ipynb