Aligning the interests of cloud service providers and their customers for no-compromise security of all data stored in the cloud
Cutting-edge privacy-preserving mechanisms: searchable encryption, k-anonimity, data splitting
Significantly outperforming standard cryptographic techniques in terms of efficiency, flexibility of operations and data access
Essential cloud characteristics: On-demand self-service | Broad network access | Resource pooling | rapid elasticity | Measured Service
Newsletter
Sign up for our newsletter
Media
-
Privacy, data protection, and the digital single market
The free movement of data is the so-called Fifth Freedom after the free movement of goods, capital, services, and persons.
-
CLARUS contributes to the EC's DPSP Cluster Whitepaper on Cloud and the Free Flow of Data
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...
-
ESORICS 2017, Oslo, 11-15 September
ESORICS is the annual European research event in Computer Security.
-
CLARUS at NetFutures2017 - What will our society look like in 2027?
CLARUS will be present at Net Futures 2017 which will take place in Brussels on 28-29th of June 2017.
Publications
-
Privacy-preserving data outsourcing in the cloud via semantic data splitting
-
Rank-Based Record Linkage for Re-Identification Risk Assessment
-
Autenticación implícita eficiente y con privacidad
Encryption-based approach
-
Searchable encryption for geo-referenced data
Privacy preserving
-
Sara Ricci, Josep Domingo-Ferrer, David Sánchez: "Privacy-Preserving Cloud-Based Statistical Analyses on Sensitive Categorical Data." MDAI 2016: 227-238. [Online: PDF]