Cloud challenge: Secure end-To-end processing of smart metering data

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

Beitragende

  • Andrey Brito - , Universidade Federal de Campina Grande (Autor:in)
  • Christof Fetzer - , Professur für Systems Engineering (SE) (Autor:in)
  • Stefan Kopsell - , Professur für Datenschutz und Datensicherheit (DD) (Autor:in)
  • Peter Pietzuch - , Imperial College London (Autor:in)
  • Marcelo Pasin - , Universität Neuenburg (Autor:in)
  • Pascal Felber - , Universität Neuenburg (Autor:in)
  • Keiko Fonseca - , Universidade Tecnológica Federal do Paraná (Autor:in)
  • Marcelo Rosa - , Universidade Tecnológica Federal do Paraná (Autor:in)
  • Luiz Gomes - , Universidade Tecnológica Federal do Paraná (Autor:in)
  • Rodrigo Riella - , LACTEC (Autor:in)
  • Charles Prado - , Instituto Nacional de Metrologia, Qualidade e Tecnologia (Autor:in)
  • Luiz F.R. Da Costa Carmo - , Instituto Nacional de Metrologia, Qualidade e Tecnologia (Autor:in)
  • Daniel Lucani - , Chocolate Cloud ApS (Autor:in)
  • Marton Sipos - , Chocolate Cloud ApS (Autor:in)
  • Laszlo Nagy - , Chocolate Cloud ApS (Autor:in)
  • Marcell Feher - , Chocolate Cloud ApS (Autor:in)

Abstract

Cloud computing considerably reduces the costs of deploying applications through on-demand, automated, and fine-granular allocation of resources. Even in private settings, cloud computing platforms enable agile and self-service management, which means that physical resources are shared more efficiently. Nevertheless, using shared infrastructures also creates more opportunities for attacks and data breaches. In this paper, we describe the SecureCloud approach. The SecureCloud project aims to enable confidentiality and integrity of data and applications running in potentially untrusted cloud environments. The project leverages technologies such as Intel SGX, OpenStack and Kubernetes to provide a cloud platform that supports secure applications. In addition, the project provides tools that help generating cloud-native, secure applications and services to be deployed on potentially untrusted clouds. The results have been validated in the smart grid scenario and enabled a data workflow that is protected end-To-end: from the collection of data to the generation of high-level information such as fraud alerts.

Details

OriginalspracheEnglisch
Titel2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion)
Redakteure/-innenJosef Spillner, Alan Sill
Herausgeber (Verlag)IEEE Xplore
Seiten19-20
Seitenumfang2
ISBN (elektronisch)978-1-7281-0359-4
ISBN (Print)978-1-7281-0360-0
PublikationsstatusVeröffentlicht - 8 Jan. 2019
Peer-Review-StatusJa

Publikationsreihe

ReiheUtility and Cloud Computing Companion (UCC Companion)

Konferenz

Titel11th IEEE/ACM International Conference on Utility and Cloud Computing Companion
KurztitelUCC-C 2018
Veranstaltungsnummer11
Dauer17 - 20 Dezember 2018
Webseite
BekanntheitsgradInternationale Veranstaltung
StadtZurich
LandSchweiz

Externe IDs

ORCID /0000-0002-0466-562X/work/142246138

Schlagworte

Ziele für nachhaltige Entwicklung

Schlagwörter

  • Cloud computing, privacy, Security, Trusted computing, Trusted execution environment

Bibliotheksschlagworte