metaprivBIDS
This Python build tool enables a given user to calculate a variety of different data privacy metrics on tabular data from a user interface.
Methods
Assesing Privacy risk:
- K-anonymity [^1]
- ℓ-diversity [^2]
- Sample Unique Detection Algorithm (SUDA) [^3]
- Privacy Information Factor (PIF) [^4]
[^1]: Sweeney, L. (2002). k-Anonymity: A Model for Protecting Privacy. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 10(05), 557-570. [^2]: Machanavajjhala, A., Kifer, D., Gehrke, J., & Venkitasubramaniam, M. (2007). ℓ-Diversity: Privacy Beyond k-Anonymity. ACM Transactions on Knowledge Discovery from Data (TKDD), 1(1), 3-es. [^3]: Elliott, M. J., & Skinner, C. J. (2000). Identifying population uniques using limited information. Proceedings of the Annual Meeting of the American Statistical Association. [^4]: Information Governance ANZ. (2019). Privacy Impact Assessment eReport. Link
Mitigating Privacy Risk
- Noise addition
- Field generalisation
- Rounded Approximation
Input data format
Input can be in either CSV or TSV format. For meta information an option of load of json file is possible.
Software installation
Option 1
The metaprivBIDS software runs on multiple platforms (e.g. Linux, MacOS, Windows) that have a Python 3 installation. It is recommended (but not required) to first create a virtual environment.
python -m venv venv
source venv/bin/activateYou can then install metaprivBIDS by cloning the git respository.
git clone https://github.com/CPernet/metaprivBIDS.gitOption 2
In the event of permission issues for system dependent files, you might want to set the pkgs_dirs option in Conda's configuration to use a directory that is writable by you.
conda config --add pkgs_dirs ~/conda_pkgsCreates the enviroment.
conda create --name venv python=3.x.xActivates the environment.
conda activate venv Graphviz requires system level dependencies and might need to be installed with
conda install graphviz pygraphvizif not avaliable.
You can then install metaprivBIDS by cloning the git respository.
git clone https://github.com/CPernet/metaprivBIDS.gitDependencies
To execute the program make sure all dependencies from pyproject.toml is avalible in a python 3.7 enviroment as stated in the software installation.
This can be done by first cd into the MetaprivBIDS directiory and then running
pip install -e . Usage
To execute the program run from command line
metaprivBIDSprompting the program to start.