Research Article
A Secure Cloud Architecture for Data Generated in the Energy Sector
@INPROCEEDINGS{10.1007/978-3-319-33681-7_31, author={Michael Pham-Hung and Pirathayini Srikantha and Deepa Kundur}, title={A Secure Cloud Architecture for Data Generated in the Energy Sector}, proceedings={Smart City 360°. First EAI International Summit, Smart City 360°, Bratislava, Slovakia and Toronto, Canada, October 13-16, 2015. Revised Selected Papers}, proceedings_a={SMARTCITY360}, year={2016}, month={6}, keywords={Cloud services Green button standard Security Homomorphic encryption}, doi={10.1007/978-3-319-33681-7_31} }- Michael Pham-Hung
Pirathayini Srikantha
Deepa Kundur
Year: 2016
A Secure Cloud Architecture for Data Generated in the Energy Sector
SMARTCITY360
Springer
DOI: 10.1007/978-3-319-33681-7_31
Abstract
In urban cities, intelligent devices such as smart meters are deployed extensively and these provide comprehensive real-time snapshots of energy consumption patterns to the electric power utility (EPU). This data can be leveraged by the EPU, other third-party solution providers or consumers themselves to make informed and smart decisions that enable sustainable power consumption. However, managing vast amounts of meter data generated at a regular basis in a secure and economical manner is not a trivial task. We propose a cloud-based architectural model that leverages recent developments in standardized data access and encryption techniques to enable flexible, secure and economical management of energy data. We also present a prototype of a mobile application that performs analytics on meter data to provide information to consumers that will incentivize more sustainable power consumption patterns.
