A Review of anomaly detection techniques in advanced metering infrastructure
| Autor: | Zul-Azri Ibrahim, Noor Afiza Mohd Ariffin, Hasventhran Baskaran, Fiza Abdul Rahim, Hairoladenan Kasim, Syazwani Arissa Shah Hairi, Abbas M. Al-Ghaili |
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| Rok vydání: | 2021 |
| Předmět: |
Control and Optimization
Computer Networks and Communications Computer science Smart meter 020209 energy 02 engineering and technology Computer security computer.software_genre AMI 020401 chemical engineering Component (UML) 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) 0204 chemical engineering Electrical and Electronic Engineering Instrumentation Data manipulation Event (computing) Data manipulation language Energy consumption Anomaly Electricity generation Smart grid Hardware and Architecture Control and Systems Engineering Anomaly detection computer Information Systems |
| Zdroj: | Bulletin of Electrical Engineering and Informatics. 10:266-273 |
| ISSN: | 2302-9285 2089-3191 |
| DOI: | 10.11591/eei.v10i1.2026 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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