Implementation of a location protcol based on Spatial Bloom Filters. The protocol is designed for a secure multi-party computation setting, where the user and the service provider are mutually distrusting, and therefore do not want to disclose private information to the other party.
This project required you to install the following python-paillier library
pip install -r requirements.txt
You will also need the spacial bloom filter class. You can find it here: https://github.com/spatialbloomfilter/libSBF-python
The SBFs protocol have been proposed in the following research papers:
- Luca Calderoni, Paolo Palmieri, Dario Maio: Location privacy without mutual trust: The spatial Bloom filter. Computer Communications, vol. 68, pp. 4-16, September 2015. ISSN 0140-3664. DOI
- Paolo Palmieri, Luca Calderoni, Dario Maio: Spatial Bloom Filters: Enabling Privacy in Location-aware Applications. In: Inscrypt 2014. Lecture Notes in Computer Science, vol. 8957, pp. 16–36, Springer, 2015. DOI
This project is licensed under the MIT License - see the LICENSE file for details
This project uses several Python modules and in particular: numpy, socket, joblib, collections.