Kgastor: a Privacy By Design Knowledge Graph anonymized Store
Maxime Thouvenot, Philippe Calvez, Olivier Curé · 2022
Regulations such as GDPR and CCPA are making the management of personal information an increasingly sensitive issue for businesses and organizations. We consider that data protection mechanisms must intervene upstream as recommended by the principles of privacy by design. Our view is that database management systems should be equipped with anonymization mechanisms. By relying on a partitioned data storage scheme, support for data update operations and query rewriting, our approach offers a trade-off between data privacy and utility. Some advantages of our approach are a low overhead of storing partitioned data, the performance of CRUD operations and the efficiency of a batch delivery approach to data updates. We evaluate our prototype on an open source RDF store and on synthetic datasets.