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 effieciency, flexibility of operations and data access
Essential cloud characteristics: On-demand self-service | Broad network access | Resource pooling | rapid elasticity | Measured Service
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Media
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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...
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A cyber-breach on the Welsh NHS subtracts thousands of staff medical information
The personal information of thousands of medical staff in Wales, United Kingdom, has been stolen, following a hacker attack that violated a local server company.
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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.
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The 13th TAROT Summer School on Software Testing, Verification & Monitoring
Registration is now open for The 13th TAROT Summer School on Software Testing, Verification & Monitoring - Naples, Italy, June 26-30, 2017.
Publications
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Privacy-preserving data outsourcing in the cloud via semantic data splitting
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Rank-Based Record Linkage for Re-Identification Risk Assessment
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Autenticación implícita eficiente y con privacidad
Encryption-based approach
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Searchable encryption for geo-referenced data
Privacy preserving
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Sara Ricci, Josep Domingo-Ferrer, David Sánchez: "Privacy-Preserving Cloud-Based Statistical Analyses on Sensitive Categorical Data." MDAI 2016: 227-238. [Online: PDF]