A data-driven ensemble technique for the detection of false data injection attacks in the smart grid framework Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.3389/fenrg.2024.1366465
The major component of the smart grid (SG) is the advanced metering infrastructure (AMI), which monitors and controls the existing power system and provides interactive services for invoicing and electricity usage management with the utility. Including a cyber-layer in the metering system allows two-way communication but creates a new opportunity for energy theft, resulting in significant monetary loss. This article proposes an approach to detecting abnormal consumption patterns using energy metering data based on the ensemble technique AdaBoost, a boosting algorithm. Different statistical and descriptive features are retrieved from metering data samples, which account for extreme conditions. The model is trained for malicious and non-malicious data for five different attack scenarios, which are analyzed on the Irish Social Science Data Archive (ISSDA) smart meter dataset. In contrast to prior supervised techniques, it works well even with unbalanced data. The efficacy of the proposed theft detection method has been evaluated by comparing the accuracy, precision, recall, and F1 score with the other well-known approaches in the literature.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fenrg.2024.1366465
- https://www.frontiersin.org/articles/10.3389/fenrg.2024.1366465/pdf?isPublishedV2=False
- OA Status
- gold
- Cited By
- 4
- References
- 59
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4395669727
Raw OpenAlex JSON
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https://openalex.org/W4395669727Canonical identifier for this work in OpenAlex
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https://doi.org/10.3389/fenrg.2024.1366465Digital Object Identifier
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A data-driven ensemble technique for the detection of false data injection attacks in the smart grid frameworkWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-04-26Full publication date if available
- Authors
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Tania Gupta, Richa Bhatia, Sachin Sharma, Ch. Rami Reddy, Kareem M. AboRas, Wael MobarakList of authors in order
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https://doi.org/10.3389/fenrg.2024.1366465Publisher landing page
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https://www.frontiersin.org/articles/10.3389/fenrg.2024.1366465/pdf?isPublishedV2=FalseDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/articles/10.3389/fenrg.2024.1366465/pdf?isPublishedV2=FalseDirect OA link when available
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Computer science, Smart grid, Grid, Data mining, Mathematics, Engineering, Electrical engineering, GeometryTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 4Per-year citation counts (last 5 years)
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59Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2766651241, https://openalex.org/W3052095468, https://openalex.org/W2088985796, https://openalex.org/W2799459715, https://openalex.org/W6777549492, https://openalex.org/W2788544268, https://openalex.org/W2997630374, https://openalex.org/W4211004335, https://openalex.org/W4210816737, https://openalex.org/W2740234477, https://openalex.org/W6677483314, https://openalex.org/W4321375225, https://openalex.org/W4319341976, https://openalex.org/W6782163651, https://openalex.org/W4313156345, https://openalex.org/W2019400841, https://openalex.org/W3197024010, https://openalex.org/W3166245994, https://openalex.org/W3174520390, https://openalex.org/W2828496772, https://openalex.org/W6672565958, https://openalex.org/W2212529815, https://openalex.org/W1483874305, https://openalex.org/W4317376828, https://openalex.org/W4385948668, https://openalex.org/W4280615056, https://openalex.org/W4221089097, https://openalex.org/W4309834001, https://openalex.org/W4387247673, https://openalex.org/W4296229496, https://openalex.org/W4361764237, https://openalex.org/W2800348009, https://openalex.org/W3011476783, https://openalex.org/W4378697415, https://openalex.org/W4362705579, https://openalex.org/W4312696388, https://openalex.org/W2522375107, https://openalex.org/W4313174306, https://openalex.org/W4383752535, https://openalex.org/W3099591230, https://openalex.org/W4378628143, https://openalex.org/W2858418091, https://openalex.org/W2160625801, https://openalex.org/W4360584283, https://openalex.org/W6726671987, https://openalex.org/W2980498517, https://openalex.org/W2622287519, https://openalex.org/W4328136174, https://openalex.org/W4321378433, https://openalex.org/W4382119971, https://openalex.org/W3207187032, https://openalex.org/W4323668066, https://openalex.org/W2776990447, https://openalex.org/W2117571858, https://openalex.org/W3048347561, https://openalex.org/W3023396513, https://openalex.org/W2089493030, https://openalex.org/W2551730448, https://openalex.org/W88605683 |
| referenced_works_count | 59 |
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| corresponding_author_ids | https://openalex.org/A5074812408, https://openalex.org/A5092993559 |
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| corresponding_institution_ids | https://openalex.org/I146367977, https://openalex.org/I4210165529, https://openalex.org/I84524832 |
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