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An efficient and privacy-preserving blockchain-based secure data aggregation in smart grids
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Mahmood, Azhar, Khan, Abid, Anjum, Adeel, Maple, Carsten and Jeon, Gwanggil (2023) An efficient and privacy-preserving blockchain-based secure data aggregation in smart grids. Sustainable Energy Technologies and Assessments, 60 . 103414. doi:10.1016/j.seta.2023.103414 ISSN 2213-1388.
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Official URL: https://doi.org/10.1016/j.seta.2023.103414
Abstract
Smart Grids (SGs) present a number of advantages over traditional grid like reduce energy cost, reduce energy wastage, and increase reliability and transparency. However, it also introduces a number of security and privacy issues not foreseen before. These are very serious issues from consumer’s perspective who do not want any malicious entity to infer any personal information from the consumption data. Data aggregation plays a significant role in protecting user’s consumption data. SGs deploy a single entity, called an aggregator, to collect and aggregate end users’ encrypted consumption data. While a number of secure data aggregation schemes have been proposed, many existing schemes suffer from a single point of failure in the aggregation process. Recently, some blockchain-based data aggregation schemes have been proposed to overcome this problem. While overcoming the failure issues, these schemes do not provide the necessary security and privacy requirements of smart grids. Furthermore, these schemes suffer from high computation and communication cost due to the use of RSA-based signatures. In order to solve these issues, this paper proposes a decentralized secure data aggregation scheme using blockchain which preserves privacy, integrity, authentication, and confidentiality of individual consumption data. Experimental results show that the proposed scheme effectively protects end user consumption data.
Item Type: | Journal Article | ||||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
SWORD Depositor: | Library Publications Router | ||||||||
Library of Congress Subject Headings (LCSH): | Smart power grids , Blockchains (Databases), Wireless sensor networks -- Security measures, Location-based services -- Security measures | ||||||||
Journal or Publication Title: | Sustainable Energy Technologies and Assessments | ||||||||
Publisher: | Elsevier | ||||||||
ISSN: | 2213-1388 | ||||||||
Official Date: | December 2023 | ||||||||
Dates: |
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Volume: | 60 | ||||||||
Article Number: | 103414 | ||||||||
DOI: | 10.1016/j.seta.2023.103414 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 12 September 2023 | ||||||||
RIOXX Funder/Project Grant: |
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