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

Islam, Shama N., Mahmud, Md Apel and Oo, A.M.T. (2018) Impact of optimal false data injection attacks on local energy trading in a residential microgrid. ICT Express, 4 (1). pp. 30-34. ISSN 2405-9595

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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.

Item Type: Article
Additional Information: Funding Information: This work is supported by Deakin University under the School of Engineering Small Research Grant.
Uncontrolled Keywords: False data injection, Local energy trading, Microgrid, Optimum attack, Smart grid
Subjects: G400 Computer Science
G500 Information Systems
G700 Artificial Intelligence
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Rachel Branson
Date Deposited: 24 Nov 2021 10:56
Last Modified: 24 Nov 2021 11:00

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