Which data technologies play a key role to preserve privacy and security?

In this white paper, e-SIDES provides an overview of existing approaches, methods and technologies that may have the potential to address ethical, legal, societal and economic issues raised by big data applications. The technologies considered as privacy enhancing or privacy preserving were identified and assigned to 11 classes: anonymisation, sanitisation, encryption, multi-party computation, access control, policy enforcement, accountability, data provenance, transparency, access and portability, and user control.

Building on the research presented in the Deliverable D3.1 - Overview of Existing Technologies published in February 2018, we have looked for practical examples and stressed the role played by the classes of technologies in other research on privacy-preserving big data technologies and data-driven innovation funded by the EU under the H2020 Programme.