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
SW Developers & Cloud Providers
- Support the CLARUS proxy solution and potentially new, secure-by-design services to their customers as the market moves closer towards security-as-a-service.
- CLARUS benefits are clearly demonstrated for geospatial data and digital health and can be extended to other uses with tight security, privacy and regulatory requirements.
CISOs, CTOs, CEOs
- Information security professionals can implement privacy-by-design, which ensures users of cloud services are in the driving seat when it comes to controlling their data.
- Read more about CLARUS related standards and consult the online catalogue.
Get started with the CLARUS PROXY
CLARUS is an open source project with a secure proxy-based solution for storing and processing data outsourced to the cloud
CLARUS privacy-by-design approach praised at the INSPIRE 2017 conference
The free movement of data is the so-called Fifth Freedom after the free movement of goods, capital, services, and persons.
The federation of research clouds is essential and necessary enabling technology for the development and translation of innovations in IoT, high-performance computing, distributed big-data analytics, and global scientific collaboration.
ESORICS is the annual European research event in Computer Security.
M. Azraoui, M. Önen, R. Molva, “Framework for Searchable Encryption with SQL Databases”, Conference CLOSER 2018, 19-21 March 2018, Medeira, Portugal. [Conference website http://closer.scitevents.org/]
J. Alderman, B. R. Curtis, O. Farràs, K. M. Martin, and J. Ribes-González, "Private Outsourced Kriging Interpolation", Lecture Notes in Computer Science, Vol. 10323 (Financial Cryptography and Data Security - FC 2017), pp. 75-90, Nov 2017, ISSN: 0302-9743. [Online: PDF]
J. Domingo-Ferrer and J. Soria-Comas, "Steered Microaggregation: A Unified Primitive for Anonymization of Data Sets and Data Streams", 10th International Workshop on Privacy and Anonymity in the Information Society-PAIS 2017, New Orleans (USA), In IEEE ICDM 2017 Workshops Proceedings, pp. 995-1002, ISBN: 978-1-5386-3800-2, Nov 2017. [Online: PDF]
J. Domingo-Ferrer, S. Ricci and J. Soria-Comas, "Empirical Comparison of Anonymization Methods Regarding Their Risk-Utility Trade-Off", Work Session on Statistical Data Confidentiality, Sept 2017. [Online: PDF]
Factor Analysis for Anonymization