islam-impactofoptimal-2018.pdf (582.38 kB)
Impact of optimal false data injection attacks on local energy trading in a residential microgrid
journal contribution
posted on 2018-03-01, 00:00 authored by Shama IslamShama Islam, Apel MahmudApel Mahmud, Aman Maung Than OoAman Maung Than OoThis 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.
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Journal
ICT expressVolume
4Issue
1Pagination
30 - 34Publisher
ElsevierLocation
Amsterdam, The NetherlandsPublisher DOI
Link to full text
eISSN
2405-9595Language
engPublication classification
C Journal article; C1 Refereed article in a scholarly journalCopyright notice
2018, The Korean Institute of Communications Information Sciences.Usage metrics
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