Citation

Baskaran, Hasventhran and Al Ghaili, Abbas M and Ibrahim, Zul Azri and Abdul Rahim, Fiza and Muthaiyah, Saravanan and Kasim, Hairoladenan (2021) Data falsification attacks in advanced metering infrastructure. Bulletin of Electrical Engineering and Informatics, 10 (1). pp. 412-418. ISSN 2089-3191

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Additive, Data falsification, Deductive, Smart meter, Use case
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Management (FOM)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	15 May 2021 17:24
Last Modified:	25 Aug 2021 09:00
URII:	http://shdl.mmu.edu.my/id/eprint/8244

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