Trinh Viet Doan, Tat Dat Pham, Markus Oberprieler, Vaibhav Bajpai
Technical University of Munich
IFIP Networking 2020, June 22–25, 2020.
Link to paper (PDF)
This repository contains the collected dataset alongside the scripts and Jupyter notebooks used for the analysis described in the paper.
For the source code of the app, visit the respective GitHub repository.
The analyses were performed using jupyter
notebooks on Python 2.7
, reading from the joint database merged.db
via sqlite3
(apt install sqlite3
).
Required Python dependencies are listed in requirements.txt
, install with pip install -r requirements.txt
.
For the calculation of CDFs and drawing of the corresponding plots, Pmf.py
→ and Cdf.py
→ from Think Stats → are used.
- run
as-mapping.sh
(generate database for mapping of AS and IP addresses) - run the
analysis.ipynb
notebook (main analysis) - output is stored in
cdf-pxs/
andfigures/
Please feel welcome to contact the authors for further details.
- Trinh Viet Doan (doan@in.tum.de)
- Tat Dat Pham (dat.pham@tum.de)
- Markus Oberprieler (markus.oberprieler@tum.de)
- Vaibhav Bajpai (bajpaiv@in.tum.de)