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A supervised classifier fed with t.ex-Graph nodes to predict whether a node is a Web tracker.

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t.ex-Graph - Classifier

This repository contains the machine learning part of t.ex-Graph. It includes the generated datasets in the folder data/.

Installation

Install the dependencies listed in requirements.txt with the following command:

pip install -r requirements.txt

Afterwards you can execute the code in the Jupyter Notebook t.ex-Graph - Classifier.ipynb.

Citation

This repository contains the artifacts of our paper t.ex-Graph: Automated Web Tracker Detection Using Centrality Metrics and Data Flow Characteristics (to be) presented at the 9th International Conference on Information Systems Security and Privacy (ICISSP 2023) in Lisbon, Portugal.

If you use t.ex-Graph in your work, please cite the publication using the following BibTex:

@inproceedings { 
  Raschke.2023.t.ex-graph,
    author = {Raschke, Philip and Herbke, Patrick and Schwerdtner, Henry},
    title = {t.ex-Graph: Automated Web Tracker Detection Using Centrality Metrics and Flow Characteristics},
    booktitle = {Proceedings of the 9th International Conference on Information Security and Privacy},
    year = {2023},
}

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A supervised classifier fed with t.ex-Graph nodes to predict whether a node is a Web tracker.

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  • Jupyter Notebook 98.1%
  • Python 1.9%