LPPDA: A Light-Weight Privacy-Preserving Data Aggregation Protocol for Smart Grids

<p dir="ltr">Smart meters are continuously being deployed in several countries as a step in the direction of modernizing the power grid. Smart meters allow for automatic electricity consumption reporting to energy providers to facilitate billing and demand-based power generation. How...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Naheel Faisal Kamal (17983783) (author)
مؤلفون آخرون: Abdulla Khalid Al-Ali (17983786) (author), Abdulaziz Al-Ali (16393288) (author), Sertac Bayhan (16388511) (author), Qutaibah M. Malluhi (14151912) (author)
منشور في: 2023
الموضوعات:
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author Naheel Faisal Kamal (17983783)
author2 Abdulla Khalid Al-Ali (17983786)
Abdulaziz Al-Ali (16393288)
Sertac Bayhan (16388511)
Qutaibah M. Malluhi (14151912)
author2_role author
author
author
author
author_facet Naheel Faisal Kamal (17983783)
Abdulla Khalid Al-Ali (17983786)
Abdulaziz Al-Ali (16393288)
Sertac Bayhan (16388511)
Qutaibah M. Malluhi (14151912)
author_role author
dc.creator.none.fl_str_mv Naheel Faisal Kamal (17983783)
Abdulla Khalid Al-Ali (17983786)
Abdulaziz Al-Ali (16393288)
Sertac Bayhan (16388511)
Qutaibah M. Malluhi (14151912)
dc.date.none.fl_str_mv 2023-09-01T06:00:00Z
dc.identifier.none.fl_str_mv 10.1109/access.2023.3311140
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/LPPDA_A_Light-Weight_Privacy-Preserving_Data_Aggregation_Protocol_for_Smart_Grids/25239502
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Engineering
Electrical engineering
Electronics, sensors and digital hardware
Materials engineering
Smart meters
Privacy
Smart grids
Meters
Protocols
Peer-to-peer computing
Differential privacy
Electric vehicle charging
security
smart meters
dc.title.none.fl_str_mv LPPDA: A Light-Weight Privacy-Preserving Data Aggregation Protocol for Smart Grids
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">Smart meters are continuously being deployed in several countries as a step in the direction of modernizing the power grid. Smart meters allow for automatic electricity consumption reporting to energy providers to facilitate billing and demand-based power generation. However, research has shown that such high resolution reporting to suppliers can potentially be used to invade consumers’ privacy; by identifying and predicting their behavior based on their consumption readings. This work presents a new protocol to preserve users’ privacy while maintaining the benefits of smart grids. The proposed method utilizes different techniques like randomization, masking, and differential privacy to build the scheme. The proposed method is shown to be more efficient compared to previous work in terms of performance and communication overhead. The implementation, simulation, and analysis are performed on datasets of real smart meters readings of households and electric vehicle chargers.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2023.3311140" target="_blank">https://dx.doi.org/10.1109/access.2023.3311140</a></p>
eu_rights_str_mv openAccess
id Manara2_54afb74af26b89aa018e9824cf199450
identifier_str_mv 10.1109/access.2023.3311140
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/25239502
publishDate 2023
repository.mail.fl_str_mv
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rights_invalid_str_mv CC BY 4.0
spelling LPPDA: A Light-Weight Privacy-Preserving Data Aggregation Protocol for Smart GridsNaheel Faisal Kamal (17983783)Abdulla Khalid Al-Ali (17983786)Abdulaziz Al-Ali (16393288)Sertac Bayhan (16388511)Qutaibah M. Malluhi (14151912)EngineeringElectrical engineeringElectronics, sensors and digital hardwareMaterials engineeringSmart metersPrivacySmart gridsMetersProtocolsPeer-to-peer computingDifferential privacyElectric vehicle chargingsecuritysmart meters<p dir="ltr">Smart meters are continuously being deployed in several countries as a step in the direction of modernizing the power grid. Smart meters allow for automatic electricity consumption reporting to energy providers to facilitate billing and demand-based power generation. However, research has shown that such high resolution reporting to suppliers can potentially be used to invade consumers’ privacy; by identifying and predicting their behavior based on their consumption readings. This work presents a new protocol to preserve users’ privacy while maintaining the benefits of smart grids. The proposed method utilizes different techniques like randomization, masking, and differential privacy to build the scheme. The proposed method is shown to be more efficient compared to previous work in terms of performance and communication overhead. The implementation, simulation, and analysis are performed on datasets of real smart meters readings of households and electric vehicle chargers.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2023.3311140" target="_blank">https://dx.doi.org/10.1109/access.2023.3311140</a></p>2023-09-01T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2023.3311140https://figshare.com/articles/journal_contribution/LPPDA_A_Light-Weight_Privacy-Preserving_Data_Aggregation_Protocol_for_Smart_Grids/25239502CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/252395022023-09-01T06:00:00Z
spellingShingle LPPDA: A Light-Weight Privacy-Preserving Data Aggregation Protocol for Smart Grids
Naheel Faisal Kamal (17983783)
Engineering
Electrical engineering
Electronics, sensors and digital hardware
Materials engineering
Smart meters
Privacy
Smart grids
Meters
Protocols
Peer-to-peer computing
Differential privacy
Electric vehicle charging
security
smart meters
status_str publishedVersion
title LPPDA: A Light-Weight Privacy-Preserving Data Aggregation Protocol for Smart Grids
title_full LPPDA: A Light-Weight Privacy-Preserving Data Aggregation Protocol for Smart Grids
title_fullStr LPPDA: A Light-Weight Privacy-Preserving Data Aggregation Protocol for Smart Grids
title_full_unstemmed LPPDA: A Light-Weight Privacy-Preserving Data Aggregation Protocol for Smart Grids
title_short LPPDA: A Light-Weight Privacy-Preserving Data Aggregation Protocol for Smart Grids
title_sort LPPDA: A Light-Weight Privacy-Preserving Data Aggregation Protocol for Smart Grids
topic Engineering
Electrical engineering
Electronics, sensors and digital hardware
Materials engineering
Smart meters
Privacy
Smart grids
Meters
Protocols
Peer-to-peer computing
Differential privacy
Electric vehicle charging
security
smart meters