Cloud Challenge: Secure End-to-End Processing of Smart Metering Data

Andrey Brito, Christof Fetzer, Stefan Köpsell, Peter Pietzuch, Marcelo Pasin, Pascal Felber, Keiko Fonseca, Marcelo Rosa, Rodrigo Riella, Charles Prado, Luiz F.R. da Costa Carmo, Daniel Enrique Lucani Rötter, Marton A. Sipos, Laszlo Nagy, Marcell Feher

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

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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.

Original languageEnglish
Title of host publicationProceedings - 11th IEEE/ACM International Conference on Utility and Cloud Computing Companion, UCC Companion 2018
Number of pages7
PublisherIEEE
Publication date2018
Pages36-42
Article number8605754
ISBN (Electronic)9781728103594
DOIs
Publication statusPublished - 2018
Externally publishedYes

Keywords

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

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