Title
Cloud Challenge: Secure End-to-End Processing of Smart Metering Data
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.
Year
DOI
Venue
2018
10.1109/UCC-Companion.2018.00031
2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion)
Keywords
Field
DocType
cloud computing,trusted computing,security,privacy,trusted execution environment
Smart grid,End-to-end principle,Computer science,Computer security,Agile software development,Resource allocation,Data breach,Workflow,Python (programming language),Cloud computing
Conference
ISSN
ISBN
Citations 
2373-6860
978-1-7281-0360-0
1
PageRank 
References 
Authors
0.36
4
15