VAL-Attack

Explore More, Reveal More - VAL: Volume and Access Pattern Leakage-abuse Attack with Leaked Documents

This repo contains the implementation used to show the results in Explore More, Reveal More - VAL: Volume and Access Pattern Leakage-abuse Attack with Leaked Documents

https://bit.ly/VAL-attack-full-version

Basis

Everything used in the experiment is present here. There are a number of files:

• main_numpy.py: Python script to simulate attacks with specified parameters, such as: dataset, number of keywords, leakage percentages and number of runs.
• main_pandas.py: Python script equal to main_numpy.py but written to use Pandas DataFrame.
• email_extraction.py: Python script to extract keywords from the given dataset
• create_graphs.py: Python script to create the plots from the result of an experiment.
• util.py: Python script with standard functions, like generate_matrix
• attacks: Folder containing the attack
  • attack_numpy.py: Python script written to use Numpy arrays.
  • attack_pandas.py: Python script written to use Pandas DataFrame.
• examples: Folder containing small examples to test the attacks
  • example_numpy.py: Python script written to use Numpy arrays.
  • example_pandas.py: Python script written to use Pandas DataFrame.
• pickles: Folder used to store the .pkl files to save time in experiment runs
• plots: Folder used to store the graphical figures made by create_graphs.py
• results: Folder that stores the results from the VAL attack, LEAP attack and the Subgraph_vol attack.
• lucene.sh: Script that downloads the files from the Apache Lucene mailing list
• requirements.txt: File that shows the python required packages.

Requirements

• Python 3.9
• pip
• Enron dataset: available from https://www.cs.cmu.edu/~enron/enron_mail_20150507.tar.gz
• Lucene dataset: available via lucene.sh
• Wikipedia dataset: https://dumps.wikimedia.org/simplewiki/20220401/simplewiki-20220401-pages-meta-current.xml.bz2 extracted via the tool from David Shapiro available via https://github.com/daveshap/PlainTextWikipedia