Publication:
Data falsification attacks in advanced metering infrastructure

Simple item page
dc.citedby1
dc.contributor.authorBaskaran H.en_US
dc.contributor.authorAl-Ghaili A.M.en_US
dc.contributor.authorIbrahim Z.-A.en_US
dc.contributor.authorRahim F.A.en_US
dc.contributor.authorMuthaiyah S.en_US
dc.contributor.authorKasim H.en_US
dc.contributor.authorid57211207528en_US
dc.contributor.authorid26664381500en_US
dc.contributor.authorid57203863738en_US
dc.contributor.authorid57350579500en_US
dc.contributor.authorid22941279100en_US
dc.contributor.authorid57203863798en_US
dc.date.accessioned2023-05-29T09:09:17Z
dc.date.available2023-05-29T09:09:17Z
dc.date.issued2021
dc.description.abstractSmart 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/eei.v10i1.2024
dc.identifier.epage418
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85092423915
dc.identifier.spage412
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85092423915&doi=10.11591%2feei.v10i1.2024&partnerID=40&md5=1f8a5737a0f53f69a6873d10e5ec8d56
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26339
dc.identifier.volume10
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Bronze, Green
dc.sourceScopus
dc.sourcetitleBulletin of Electrical Engineering and Informatics
dc.titleData falsification attacks in advanced metering infrastructureen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS