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Privacy protection ...
Privacy protection of synthetic smart grid data simulated via generative adversarial networks
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- Adewole, Kayode Sakariyah (författare)
- Malmö universitet,Umeå universitet,Institutionen för datavetenskap,Department of Computer Science and Media Technology, Malmö University, Malmö, Sweden; Department of Computer Science, University of Ilorin, Ilorin, Nigeria,Institutionen för datavetenskap och medieteknik (DVMT),Umeå Univ, Dept Comp Sci, Umeå, Sweden.;Univ Ilorin, Dept Comp Sci, Ilorin, Nigeria.
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- Torra, Vicenç (författare)
- Umeå universitet,Institutionen för datavetenskap,Department of Computer Science and Media Technology, Malmö University, Malmö, Sweden,Umeå Univ, Dept Comp Sci, Umeå, Sweden.
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(creator_code:org_t)
- SciTePress, 2023
- 2023
- Engelska.
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Ingår i: Proceedings of the 20th international conference on security and cryptography, SECRYPT 2023. - : SciTePress. - 9789897586668 ; , s. 279-286
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Abstract
Ämnesord
Stäng
- The development in smart meter technology has made grid operations more efficient based on fine-grained electricity usage data generated at different levels of time granularity. Consequently, machine learning algorithms have benefited from these data to produce useful models for important grid operations. Although machine learning algorithms need historical data to improve predictive performance, these data are not readily available for public utilization due to privacy issues. The existing smart grid data simulation frameworks generate grid data with implicit privacy concerns since the data are simulated from a few real energy consumptions that are publicly available. This paper addresses two issues in smart grid. First, it assesses the level of privacy violation with the individual household appliances based on synthetic household aggregate loads consumption. Second, based on the findings, it proposes two privacy-preserving mechanisms to reduce this risk. Three inference attacks are simulated and the results obtained confirm the efficacy of the proposed privacy-preserving mechanisms.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
Nyckelord
- Smart Grid
- Non-Intrusive Load Monitoring
- Generative Adversarial Networks
- Data Privacy
- Microaggregation
- Discrete Fourier Transform
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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