Proceedings of the The 1st International Workshop on Cloud Computing and Information Security

Analysis of Privacy Preserving for Big Data in the Environment of Power Systems

Authors
Ye Yun, Yang Wei, Lin Wei-min, Zhang Tao
Corresponding Author
Ye Yun
Available Online November 2013.
DOI
10.2991/ccis-13.2013.118How to use a DOI?
Keywords
Power Systems, Big Data, Privacy Preserving, Smart Grid
Abstract

As the development of Smart Grid deeply progressing, the data in power systems grows extremely fast. Information security has become a very important support for smart grid’s safely and stably operation. To build unified, reasonable, safe and efficient information facilities is necessary for safeguarding the development of Smart Grid. The privacy problems become more and more outstanding as the big data technologies progressing. Electric power informatization branch of Chinese Society of Electrical Engineering will publish a white book called the big data development in Chinese power systems, and it will be the first white book on big data problems in electric systems. Big data problems in power systems is the inevitable trend for Smart Grid, and the corresponding privacy preserving problems also become the important guarantee for various business in power systems. In this paper, we will deeply investigate and survey the privacy preserving problems and technologies, and will provide some positive suggestions, such as a framework of privacy preserving approaches for the apps of big data in power systems.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the The 1st International Workshop on Cloud Computing and Information Security
Series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
10.2991/ccis-13.2013.118
ISSN
1951-6851
DOI
10.2991/ccis-13.2013.118How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ye Yun
AU  - Yang Wei
AU  - Lin Wei-min
AU  - Zhang Tao
PY  - 2013/11
DA  - 2013/11
TI  - Analysis of Privacy Preserving for Big Data in the Environment of Power Systems
BT  - Proceedings of the The 1st International Workshop on Cloud Computing and Information Security
PB  - Atlantis Press
SP  - 512
EP  - 517
SN  - 1951-6851
UR  - https://doi.org/10.2991/ccis-13.2013.118
DO  - 10.2991/ccis-13.2013.118
ID  - Yun2013/11
ER  -