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Impact of optimal false data injection attacks on local energy trading in a residential microgrid

Islam, Shama N., Mahmud, M. A. and Oo, A. M. T. 2018, Impact of optimal false data injection attacks on local energy trading in a residential microgrid, ICT express, vol. 4, no. 1, pp. 30-34, doi: 10.1016/j.icte.2018.01.015.

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Title Impact of optimal false data injection attacks on local energy trading in a residential microgrid
Author(s) Islam, Shama N.ORCID iD for Islam, Shama N. orcid.org/0000-0002-2354-7960
Mahmud, M. A.ORCID iD for Mahmud, M. A. orcid.org/0000-0002-5302-5338
Oo, A. M. T.
Journal name ICT express
Volume number 4
Issue number 1
Start page 30
End page 34
Total pages 5
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2018-03
ISSN 2405-9595
Keyword(s) Local energy trading
Microgrid
False data injection
Optimum attack
Smart grid
Summary This paper illustrates the vulnerability of local energy trading to false data injection attacks in a smart residential microgrid and demonstrates the impact of such attacks on the financial benefits earned by the participants. In a local energy market, the attacker can overhear the energy generation and consumption patterns of legitimate participants and based on this, optimize its attack signal to achieve maximum benefits either as a buyer/seller, while balancing the supply–demand to remain undetected. For such a system, we have formulated an optimization problem at the attacker, to extract the maximum possible benefits from legitimate participants. The numerical results show that the false data injection from the attacker causes significant losses in the benefits of legitimate participants, up to a reduction of 94% in certain hours.
Language eng
DOI 10.1016/j.icte.2018.01.015
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2018, The Korean Institute of Communications Information Sciences.
Free to Read? Yes
Use Rights Creative Commons Attribution Non-Commercial No-Derivatives licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30109469

Document type: Journal Article
Collections: School of Engineering
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.