Power utilities globally are increasingly upgrading to Smart Grids
that use bi-directional communication with the consumer to enable
an information-driven approach to distributed energy management.
Clouds offer features well suited for Smart Grid software platforms
and applications, such as elastic resources and shared services.
However, the security and privacy concerns inherent in an informationrich
Smart Grid environment are further exacerbated by their deployment
on Clouds. Here, we present an analysis of security and privacy issues
in a Smart Grids software architecture operating on different Cloud
environments, in the form of a taxonomy. We use the Los Angeles Smart
Grid Project that is underway in the largest U.S. municipal utility
to drive this analysis that will benefit both Cloud practitioners
targeting Smart Grid applications, and Cloud researchers investigating
security and privacy.
%0 Conference Paper
%1 Simmhan:cloud:2011
%A Simmhan, Yogesh
%A Kumbhare, Alok
%A Cao, Baohua
%A Prasanna, Viktor K.
%B International Cloud Computing Conference (CLOUD)
%D 2011
%I IEEE
%K cloud, grid, peer privacy, reviewed security, smart usc,
%P 582 -- 589
%R 10.1109/CLOUD.2011.107
%T An Analysis of Security and Privacy Issues in Smart Grid Software
Architectures on Clouds
%U http://ceng.usc.edu/~simmhan/pubs/simmhan-cloud-2011.pdf
%X Power utilities globally are increasingly upgrading to Smart Grids
that use bi-directional communication with the consumer to enable
an information-driven approach to distributed energy management.
Clouds offer features well suited for Smart Grid software platforms
and applications, such as elastic resources and shared services.
However, the security and privacy concerns inherent in an informationrich
Smart Grid environment are further exacerbated by their deployment
on Clouds. Here, we present an analysis of security and privacy issues
in a Smart Grids software architecture operating on different Cloud
environments, in the form of a taxonomy. We use the Los Angeles Smart
Grid Project that is underway in the largest U.S. municipal utility
to drive this analysis that will benefit both Cloud practitioners
targeting Smart Grid applications, and Cloud researchers investigating
security and privacy.
@inproceedings{Simmhan:cloud:2011,
abstract = {Power utilities globally are increasingly upgrading to Smart Grids
that use bi-directional communication with the consumer to enable
an information-driven approach to distributed energy management.
Clouds offer features well suited for Smart Grid software platforms
and applications, such as elastic resources and shared services.
However, the security and privacy concerns inherent in an informationrich
Smart Grid environment are further exacerbated by their deployment
on Clouds. Here, we present an analysis of security and privacy issues
in a Smart Grids software architecture operating on different Cloud
environments, in the form of a taxonomy. We use the Los Angeles Smart
Grid Project that is underway in the largest U.S. municipal utility
to drive this analysis that will benefit both Cloud practitioners
targeting Smart Grid applications, and Cloud researchers investigating
security and privacy.},
added-at = {2014-08-13T04:08:36.000+0200},
author = {Simmhan, Yogesh and Kumbhare, Alok and Cao, Baohua and Prasanna, Viktor K.},
biburl = {https://www.bibsonomy.org/bibtex/2f4dc81aeb4d8359f59a7feb7d88f9de9/simmhan},
booktitle = {International Cloud Computing Conference (CLOUD)},
doi = {10.1109/CLOUD.2011.107},
interhash = {53fe89e1f1f09b48b901ece05a370819},
intrahash = {f4dc81aeb4d8359f59a7feb7d88f9de9},
keywords = {cloud, grid, peer privacy, reviewed security, smart usc,},
month = {July},
note = {[CORE B]},
owner = {Simmhan},
pages = {582 -- 589},
publisher = {IEEE},
timestamp = {2014-08-13T04:08:36.000+0200},
title = {An Analysis of Security and Privacy Issues in Smart Grid Software
Architectures on Clouds},
url = {http://ceng.usc.edu/~simmhan/pubs/simmhan-cloud-2011.pdf},
year = 2011
}