SecureCloud: Secure big data processing in untrusted clouds

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

  • Florian Kelbert - , Imperial College London (Author)
  • Franz Gregor - , Chair of Systems Engineering, TUD Dresden University of Technology (Author)
  • Rafael Pires - , University of Neuchatel (Author)
  • Stefan Kopsell - , Chair of Privacy and Data Security, TUD Dresden University of Technology (Author)
  • Marcelo Pasin - , University of Neuchatel (Author)
  • Aurelien Havet - , University of Neuchatel (Author)
  • Valerio Schiavoni - , University of Neuchatel (Author)
  • Pascal Felber - , University of Neuchatel (Author)
  • Christof Fetzer - , Chair of Systems Engineering, TUD Dresden University of Technology (Author)
  • Peter Pietzuch - , Imperial College London (Author)

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 languageEnglish
Title of host publicationProceedings of the 2017 Design, Automation and Test in Europe, DATE 2017
Place of PublicationLausanne
PublisherIEEE Xplore
Pages282-285
Number of pages4
ISBN (electronic)978-3-9815370-8-6, 978-3-9815370-9-3
ISBN (print)978-1-5090-5826-6
Publication statusPublished - 11 May 2017
Peer-reviewedYes

Publication series

SeriesDesign, Automation and Test in Europe Conference and Exhibition (DATE)
ISSN1530-1591

Conference

Title20th Design, Automation and Test in Europe, DATE 2017
Duration27 - 31 March 2017
CitySwisstech, Lausanne
CountrySwitzerland

External IDs

ORCID /0000-0002-0466-562X/work/142246141