A review of anomaly detection techniques in advanced metering infrastructure
Advanced 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 dis...
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Institute of Advanced Engineering and Science
2023
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my.uniten.dspace-263402023-05-29T17:09:18Z A review of anomaly detection techniques in advanced metering infrastructure Al-Ghaili A.M. Ibrahim Z.-A. Hairi S.A.S. Rahim F.A. Baskaran H. Ariffin N.A.M. Kasim H. 26664381500 57203863738 57215139203 57350579500 57211207528 55349248100 57203863798 Advanced 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. Final 2023-05-29T09:09:18Z 2023-05-29T09:09:18Z 2021 Article 10.11591/eei.v10i1.2026 2-s2.0-85091512040 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091512040&doi=10.11591%2feei.v10i1.2026&partnerID=40&md5=cd06fc392ac63895cad55488372db12c https://irepository.uniten.edu.my/handle/123456789/26340 10 1 266 273 All Open Access, Bronze, Green Institute of Advanced Engineering and Science Scopus |
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Advanced 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. |
| author2 |
26664381500 |
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26664381500 Al-Ghaili A.M. Ibrahim Z.-A. Hairi S.A.S. Rahim F.A. Baskaran H. Ariffin N.A.M. Kasim H. |
| format |
Article |
| author |
Al-Ghaili A.M. Ibrahim Z.-A. Hairi S.A.S. Rahim F.A. Baskaran H. Ariffin N.A.M. Kasim H. |
| spellingShingle |
Al-Ghaili A.M. Ibrahim Z.-A. Hairi S.A.S. Rahim F.A. Baskaran H. Ariffin N.A.M. Kasim H. A review of anomaly detection techniques in advanced metering infrastructure |
| author_sort |
Al-Ghaili A.M. |
| title |
A review of anomaly detection techniques in advanced metering infrastructure |
| title_short |
A review of anomaly detection techniques in advanced metering infrastructure |
| title_full |
A review of anomaly detection techniques in advanced metering infrastructure |
| title_fullStr |
A review of anomaly detection techniques in advanced metering infrastructure |
| title_full_unstemmed |
A review of anomaly detection techniques in advanced metering infrastructure |
| title_sort |
review of anomaly detection techniques in advanced metering infrastructure |
| publisher |
Institute of Advanced Engineering and Science |
| publishDate |
2023 |
| _version_ |
1806425495463526400 |
| score |
13.222552 |