This is an implementation of proximity searchable encryption scheme for the iris biometric described in https://eprint.iacr.org/2020/1174.
This implementation is a research prototype built for micro-benchmarking purposes, and is not intended to be used in production-level code as it has not been carefully analyzed for potential security flaws.
Authors:
- Sohaib Ahmad, University of Connecticut
- Chloe Cachet, University of Connecticut
- Luke Demarest, University of Connecticut
- Benjamin Fuller, University of Connecticut
- Ariel Hamlin, Northeastern University
Contact Chloe at chloe.cachet@uconn.edu for additional information or questions about the implementation.
This construction uses the Notre-Dame and IITD datasets. You can find them on the following links:
Once downloaded, add them to the features folder.
Make sure you have the following installed:
- Python 3.x.x
- Make
- GCC
Several C and Python libraries are required to build the project, you can either install them one by one or use the script:
sudo ./install_libraries.sh
git clone --recursive https://github.com/chloecachet/pse.git
cd pse
./init_project.sh
python3 tests/test_ipe.py
We rely on the following three submodules: