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A review of anomaly detection techniques in advanced metering infrastructure

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dc.citedby3
dc.contributor.authorAl-Ghaili A.M.en_US
dc.contributor.authorIbrahim Z.-A.en_US
dc.contributor.authorHairi S.A.S.en_US
dc.contributor.authorRahim F.A.en_US
dc.contributor.authorBaskaran H.en_US
dc.contributor.authorAriffin N.A.M.en_US
dc.contributor.authorKasim H.en_US
dc.contributor.authorid26664381500en_US
dc.contributor.authorid57203863738en_US
dc.contributor.authorid57215139203en_US
dc.contributor.authorid57350579500en_US
dc.contributor.authorid57211207528en_US
dc.contributor.authorid55349248100en_US
dc.contributor.authorid57203863798en_US
dc.date.accessioned2023-05-29T09:09:18Z
dc.date.available2023-05-29T09:09:18Z
dc.date.issued2021
dc.description.abstractAdvanced Metering Infrastructure (AMI) is a component of electrical networks that combines the energy and telecommunication infrastructure to collect, measure and analyze consumer energy consumptions. One of the main elements of AMI is a smart meter that used to manage electricity generation and distribution to end-user. The rapid implementation of AMI raises the need to deliver better maintenance performance and monitoring more efficiently while keeping consumers informed on their consumption habits. The convergence from analog to digital has made AMI tend to inherit the current vulnerabilities of digital devices that prone to cyber-attack, where attackers can manipulate the consumer energy consumption for their benefit. A huge amount of data generated in AMI allows attackers to manipulate the consumer energy consumption to their benefit once they manage to hack into the AMI environment. Anomalies detection is a technique can be used to identify any rare event such as data manipulation that happens in AMI based on the data collected from the smart meter. The purpose of this study is to review existing studies on anomalies techniques used to detect data manipulation in AMI and smart grid systems. Furthermore, several measurement methods and approaches used by existing studies will be addressed. � 2021, Institute of Advanced Engineering and Science. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/eei.v10i1.2026
dc.identifier.epage273
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85091512040
dc.identifier.spage266
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85091512040&doi=10.11591%2feei.v10i1.2026&partnerID=40&md5=cd06fc392ac63895cad55488372db12c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26340
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.titleA review of anomaly detection techniques in advanced metering infrastructureen_US
dc.typeArticleen_US
dspace.entity.typePublication
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