Towards privacy protection in smart grid
The smart grid is an electronically controlled electrical grid that connects power generation, transmission, distribution, and consumers using information communication technologies. One of the key characteristics of the smart grid is its support for bi-directional information flow between the consu...
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iium-267022014-06-03T04:49:32Z http://irep.iium.edu.my/26702/ Towards privacy protection in smart grid Zeadally, Sherali Pathan, Al-Sakib Khan Alcaraz, Cristina Badra, Mohamad QA75 Electronic computers. Computer science The smart grid is an electronically controlled electrical grid that connects power generation, transmission, distribution, and consumers using information communication technologies. One of the key characteristics of the smart grid is its support for bi-directional information flow between the consumer of electricity and the utility provider. This two-way interaction allows electricity to be generated in real-time based on consumers’ demands and power requests. As a result, consumer privacy becomes an important concern when collecting energy usage data with the deployment and adoption of smart grid technologies. To protect such sensitive information it is imperative that privacy protection mechanisms be used to protect the privacy of smart grid users. We present an analysis of recently proposed smart grid privacy solutions and identify their strengths and weaknesses in terms of their implementation complexity, efficiency, robustness, and simplicity. Springer 2012-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/26702/1/SmartJournalfinalrevised.pdf application/pdf en http://irep.iium.edu.my/26702/4/10.1007_s11277-012-0939-1.pdf Zeadally, Sherali and Pathan, Al-Sakib Khan and Alcaraz, Cristina and Badra, Mohamad (2012) Towards privacy protection in smart grid. Wireless Personal Communications, 73 (1). pp. 23-50. ISSN 0929-6212 (Print) 1572-834X (Online) http://link.springer.com/article/10.1007%2Fs11277-012-0939-1 |
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International Islamic University Malaysia |
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English English |
topic |
QA75 Electronic computers. Computer science |
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QA75 Electronic computers. Computer science Zeadally, Sherali Pathan, Al-Sakib Khan Alcaraz, Cristina Badra, Mohamad Towards privacy protection in smart grid |
description |
The smart grid is an electronically controlled electrical grid that connects power generation, transmission, distribution, and consumers using information communication technologies. One of the key characteristics of the smart grid is its support for bi-directional information flow between the consumer of electricity and the utility provider. This two-way interaction allows electricity to be generated in real-time based on consumers’ demands and power requests. As a result, consumer privacy becomes an important concern when collecting energy usage data with the deployment and adoption of smart grid technologies. To protect such sensitive information it is imperative that privacy protection mechanisms be used to protect the privacy of smart grid users. We present an analysis of recently proposed smart grid privacy solutions and identify their strengths and weaknesses in terms of their implementation complexity, efficiency, robustness, and simplicity. |
format |
Article |
author |
Zeadally, Sherali Pathan, Al-Sakib Khan Alcaraz, Cristina Badra, Mohamad |
author_facet |
Zeadally, Sherali Pathan, Al-Sakib Khan Alcaraz, Cristina Badra, Mohamad |
author_sort |
Zeadally, Sherali |
title |
Towards privacy protection in smart grid |
title_short |
Towards privacy protection in smart grid |
title_full |
Towards privacy protection in smart grid |
title_fullStr |
Towards privacy protection in smart grid |
title_full_unstemmed |
Towards privacy protection in smart grid |
title_sort |
towards privacy protection in smart grid |
publisher |
Springer |
publishDate |
2012 |
url |
http://irep.iium.edu.my/26702/ http://irep.iium.edu.my/26702/ http://irep.iium.edu.my/26702/1/SmartJournalfinalrevised.pdf http://irep.iium.edu.my/26702/4/10.1007_s11277-012-0939-1.pdf |
first_indexed |
2023-09-18T20:39:44Z |
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2023-09-18T20:39:44Z |
_version_ |
1777409284972216320 |