SecureCloud: Secure big data processing in untrusted clouds

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

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

OriginalspracheEnglisch
TitelProceedings of the 2017 Design, Automation and Test in Europe, DATE 2017
ErscheinungsortLausanne
Herausgeber (Verlag)IEEE Xplore
Seiten282-285
Seitenumfang4
ISBN (elektronisch)978-3-9815370-8-6, 978-3-9815370-9-3
ISBN (Print)978-1-5090-5826-6
PublikationsstatusVeröffentlicht - 11 Mai 2017
Peer-Review-StatusJa

Publikationsreihe

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

Konferenz

Titel20th Design, Automation and Test in Europe, DATE 2017
Dauer27 - 31 März 2017
StadtSwisstech, Lausanne
LandSchweiz

Externe IDs

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