Machine Learning Graph Attack

The main idea of this attack is find nodes (edges) that represent same entity(person), but in two social graphs.

The algorithm is trained and tested on new orleans facebook social graph {http://socialnetworks.mpi-sws.org/data-wosn2009.html}

Basic Usage

Run ML-Deanon.ipynb for a model described in original paper by Kumar Sharad 2016
Run Edge_attack.ipynb for an extention model for attacking connections in a social graph

You can exectute it online, without installing jupyter :

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
data		data
Edge_attack.ipynb		Edge_attack.ipynb
Edge_attack_rand.ipynb		Edge_attack_rand.ipynb
GraphAnimation.ipynb		GraphAnimation.ipynb
Lopacity.py		Lopacity.py
ML-Deanon.ipynb		ML-Deanon.ipynb
README.md		README.md
attack.py		attack.py
iLop.ipynb		iLop.ipynb
rand_pert.py		rand_pert.py
utils.py		utils.py