SecureCloud: Secure big data processing in untrusted clouds
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
We present the SecureCloud EU Horizon 2020 project, whose goal is to enable new big data applications that use sensitive data in the cloud without compromising data security and privacy. For this, SecureCloud designs and develops a layered architecture that allows for (i) the secure creation and deployment of secure micro-services; (ii) the secure integration of individual micro-services to full-fledged big data applications; and (iii) the secure execution of these applications within untrusted cloud environments. To provide security guarantees, SecureCloud leverages novel security mechanisms present in recent commodity CPUs, in particular, Intel's Software Guard Extensions (SGX). SecureCloud applies this architecture to big data applications in the context of smart grids. We describe the SecureCloud approach, initial results, and considered use cases.
Details
Original language | English |
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Title of host publication | Proceedings of the 2017 Design, Automation and Test in Europe, DATE 2017 |
Place of Publication | Lausanne |
Publisher | IEEE Xplore |
Pages | 282-285 |
Number of pages | 4 |
ISBN (electronic) | 978-3-9815370-8-6, 978-3-9815370-9-3 |
ISBN (print) | 978-1-5090-5826-6 |
Publication status | Published - 11 May 2017 |
Peer-reviewed | Yes |
Publication series
Series | Design, Automation and Test in Europe Conference and Exhibition (DATE) |
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ISSN | 1530-1591 |
Conference
Title | 20th Design, Automation and Test in Europe, DATE 2017 |
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Duration | 27 - 31 March 2017 |
City | Swisstech, Lausanne |
Country | Switzerland |
External IDs
ORCID | /0000-0002-0466-562X/work/142246141 |
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