Data falsification attacks in advanced metering infrastructure

Smart grids are the cutting-edge electric power systems that make use of the latest digital communication technologies to supply end-user electricity, but with more effective control and can completely fill end user supply and demand. Advanced Metering Infrastructure (AMI), the backbone of smart gri...

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Main Authors: Baskaran H., Al-Ghaili A.M., Ibrahim Z.-A., Rahim F.A., Muthaiyah S., Kasim H.
Other Authors: 57211207528
Format: Article
Published: Institute of Advanced Engineering and Science 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-263392023-05-29T17:09:17Z Data falsification attacks in advanced metering infrastructure Baskaran H. Al-Ghaili A.M. Ibrahim Z.-A. Rahim F.A. Muthaiyah S. Kasim H. 57211207528 26664381500 57203863738 57350579500 22941279100 57203863798 Smart grids are the cutting-edge electric power systems that make use of the latest digital communication technologies to supply end-user electricity, but with more effective control and can completely fill end user supply and demand. Advanced Metering Infrastructure (AMI), the backbone of smart grids, can be used to provide a range of power applications and services based on AMI data. The increased deployment of smart meters and AMI have attracted attackers to exploit smart grid vulnerabilities and try to take advantage of the AMI and smart meter�s weakness. One of the possible major attacks in the AMI environment is False Data Injection Attack (FDIA). FDIA will try to manipulate the user�s electric consumption by falsified the data supplied by the smart meter value in a smart grid system using additive and deductive attack methods to cause loss to both customers and utility providers. This paper will explore two possible attacks, the additive and deductive data falsification attack and illustrate the taxonomy of attack behaviors that results in additive and deductive attacks. This paper contributes to real smart meter datasets in order to come up with a financial impact to both energy provider and end-user. � 2020, Institute of Advanced Engineering and Science. All rights reserved. Final 2023-05-29T09:09:17Z 2023-05-29T09:09:17Z 2021 Article 10.11591/eei.v10i1.2024 2-s2.0-85092423915 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092423915&doi=10.11591%2feei.v10i1.2024&partnerID=40&md5=1f8a5737a0f53f69a6873d10e5ec8d56 https://irepository.uniten.edu.my/handle/123456789/26339 10 1 412 418 All Open Access, Bronze, Green Institute of Advanced Engineering and Science Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
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country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
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description Smart grids are the cutting-edge electric power systems that make use of the latest digital communication technologies to supply end-user electricity, but with more effective control and can completely fill end user supply and demand. Advanced Metering Infrastructure (AMI), the backbone of smart grids, can be used to provide a range of power applications and services based on AMI data. The increased deployment of smart meters and AMI have attracted attackers to exploit smart grid vulnerabilities and try to take advantage of the AMI and smart meter�s weakness. One of the possible major attacks in the AMI environment is False Data Injection Attack (FDIA). FDIA will try to manipulate the user�s electric consumption by falsified the data supplied by the smart meter value in a smart grid system using additive and deductive attack methods to cause loss to both customers and utility providers. This paper will explore two possible attacks, the additive and deductive data falsification attack and illustrate the taxonomy of attack behaviors that results in additive and deductive attacks. This paper contributes to real smart meter datasets in order to come up with a financial impact to both energy provider and end-user. � 2020, Institute of Advanced Engineering and Science. All rights reserved.
author2 57211207528
author_facet 57211207528
Baskaran H.
Al-Ghaili A.M.
Ibrahim Z.-A.
Rahim F.A.
Muthaiyah S.
Kasim H.
format Article
author Baskaran H.
Al-Ghaili A.M.
Ibrahim Z.-A.
Rahim F.A.
Muthaiyah S.
Kasim H.
spellingShingle Baskaran H.
Al-Ghaili A.M.
Ibrahim Z.-A.
Rahim F.A.
Muthaiyah S.
Kasim H.
Data falsification attacks in advanced metering infrastructure
author_sort Baskaran H.
title Data falsification attacks in advanced metering infrastructure
title_short Data falsification attacks in advanced metering infrastructure
title_full Data falsification attacks in advanced metering infrastructure
title_fullStr Data falsification attacks in advanced metering infrastructure
title_full_unstemmed Data falsification attacks in advanced metering infrastructure
title_sort data falsification attacks in advanced metering infrastructure
publisher Institute of Advanced Engineering and Science
publishDate 2023
_version_ 1806428504327192576