RESTASSURED - Secure Data Processing in the Cloud
EU Contribution |
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Overall Budget |
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⭐ Good Practice Description:
RestAssured set out to provide end-to-end security for sensitive data, with four components: ‘(1) fully homomorphic encryption to process data without decryption, with cloud enablement of SGX hardware for protected data processing, (2) sticky policies for decentralised data lifecycle management, (3) models@runtime for data protection assurance, and (4) automated risk management for run-time data protection.
Success Factors:
Data Governance | The project partners developped The RestAssured project was well managed and successfully achieved innovative technology development, which is now being further developed by a follow-up project FOG PROTECT dealing with remaining technology challenges |
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Stakeholders
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UNIVERSITAET DUISBURG-ESSEN (Germany)
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UNIVERSITY OF SOUTHAMPTON (United Kingdom)
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ADAPTANT SOLUTIONS AG (Germany)
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IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD (Israel)
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OXFORD COMPUTER CONSULTANTS LIMITED (United Kingdom)
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THALES SERVICES SAS (France)
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THALES SIX GTS FRANCE SAS (France)
Strategic Goals
Specific technical concerns of data protection in the cloud mean that privacy and security by design approaches will no longer be sufficient, due to uncertainty at design time of how the cloud and privacy requirements may dynamically evolve and change at run time.
Solutions Developed / Used
Secure cloud computing is key for business success and end-user adoption of federated and decentralized cloud services and thus essential to stimulate the growth of the European Digital Single Market. RestAssured will provide solutions to specific technical concerns of data protection in the cloud (such as geo-location restrictions on personal data), which are imposed by the dynamic, multi-stakeholder and decentralized nature of federated cloud systems.
Description
Start Date
End Date
Project Focus
- Operator
Geographical Scope
- European
Keywords
- Cloud
- Federation
Cloud Delivery Model
- SaaS
Project Life-Cycle Stage
- Research and Innovation
Industry
- Information and Communication
Industry
- Small and Medium Enterprises (SMEs)
Technology
- Big Data