The EC’s cluster on Data Protection, Security and Privacy (DPSP Cluster) is helping to shape future research and innovation on the free flow of data.
The recently published Whitepaper on Cloud technology options towards Free Flow of Data, is the result of the collaborative effort of the clustered projects, and it collects the technology outcomes from the projects that help to solve some of the issues raised by the Free Flow of Data (FFD) initiative of the Digital Single Market.
The aim of the document is to facilitate the identification of the state-of-the-art of technology options towards solving the data security and privacy challenges posed by the Free Flow of Data initiative in Europe.
CLARUS is one of the 28 projects that contributed to the writing of the Whitepaper with two case studies on Geospatial and eHealth data demonstrating how CLARUS will allow end users to monitor, audit and control the stored data without impairing the functionality and cost saving benefits of cloud services.
Privacy-preserving techniques are the basis for cloud security as a service, implemented by the CLARUS proxy, which holds the keys and manages the knowledge to restore outsourced and secured data.
The security-enabling techniques are a set of cryptographic primitives useful in the cloud context: searchable encryption, access control, homomorphic encryption, and secure multiparty computation.
In the context of privacy-preserving techniques, a set of non-cryptographic techniques for the cloud has been defined: statistical disclosure control, data coarsening, data splitting.