Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks
Due to the drastic increase of electricity prosumers, i.e., energy consumers that are also producers, smart grids have become a key solution for electricity infrastructure. In smart grids, one of the most crucial requirements is the privacy of the final users. The vast majority of the literature add...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-02-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/5/1337 |
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| author | Jayme Milanezi Junior João Paulo C. L. da Costa Caio C. R. Garcez Robson de Oliveira Albuquerque Arnaldo Arancibia Lothar Weichenberger Fábio Lucio Lopes de Mendonça Giovanni del Galdo Rafael T. de Sousa Jr. |
| author_facet | Jayme Milanezi Junior João Paulo C. L. da Costa Caio C. R. Garcez Robson de Oliveira Albuquerque Arnaldo Arancibia Lothar Weichenberger Fábio Lucio Lopes de Mendonça Giovanni del Galdo Rafael T. de Sousa Jr. |
| author_sort | Jayme Milanezi Junior |
| collection | DOAJ |
| description | Due to the drastic increase of electricity prosumers, i.e., energy consumers that are also producers, smart grids have become a key solution for electricity infrastructure. In smart grids, one of the most crucial requirements is the privacy of the final users. The vast majority of the literature addresses the privacy issue by providing ways of hiding user’s electricity consumption. However, open issues in the literature related to the privacy of the electricity producers still remain. In this paper, we propose a framework that preserves the secrecy of prosumers’ identities and provides protection against the traffic analysis attack in a competitive market for energy trade in a Neighborhood Area Network (NAN). In addition, the amount of bidders and of successful bids are hidden from malicious attackers by our framework. Due to the need for small data throughput for the bidders, the communication links of our framework are based on a proprietary communication system. Still, in terms of data security, we adopt the Advanced Encryption Standard (AES) 128 bit with Exclusive-OR (XOR) keys due to their reduced computational complexity, allowing fast processing. Our framework outperforms the state-of-the-art solutions in terms of privacy protection and trading flexibility in a prosumer-to-prosumer design. |
| first_indexed | 2024-04-11T18:20:06Z |
| format | Article |
| id | doaj.art-a5fa8628413e4fcda3ed04832dcd12ea |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T18:20:06Z |
| publishDate | 2020-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a5fa8628413e4fcda3ed04832dcd12ea2022-12-22T04:09:48ZengMDPI AGSensors1424-82202020-02-01205133710.3390/s20051337s20051337Data Security and Trading Framework for Smart Grids in Neighborhood Area NetworksJayme Milanezi Junior0João Paulo C. L. da Costa1Caio C. R. Garcez2Robson de Oliveira Albuquerque3Arnaldo Arancibia4Lothar Weichenberger5Fábio Lucio Lopes de Mendonça6Giovanni del Galdo7Rafael T. de Sousa Jr.8Department of Electrical Engineering, University of Brasília, Brasília 70910-900, BrazilDepartment of Electrical Engineering, University of Brasília, Brasília 70910-900, BrazilDepartment of Electrical Engineering, University of Brasília, Brasília 70910-900, BrazilDepartment of Electrical Engineering, University of Brasília, Brasília 70910-900, BrazilElektronische Fahrwerksysteme GmbH, 85080 Ingolstadt, GermanyElektronische Fahrwerksysteme GmbH, 85080 Ingolstadt, GermanyDepartment of Electrical Engineering, University of Brasília, Brasília 70910-900, BrazilInstitute for Information Technology, Ilmenau University of Technology, 98693 Ilmenau, GermanyDepartment of Electrical Engineering, University of Brasília, Brasília 70910-900, BrazilDue to the drastic increase of electricity prosumers, i.e., energy consumers that are also producers, smart grids have become a key solution for electricity infrastructure. In smart grids, one of the most crucial requirements is the privacy of the final users. The vast majority of the literature addresses the privacy issue by providing ways of hiding user’s electricity consumption. However, open issues in the literature related to the privacy of the electricity producers still remain. In this paper, we propose a framework that preserves the secrecy of prosumers’ identities and provides protection against the traffic analysis attack in a competitive market for energy trade in a Neighborhood Area Network (NAN). In addition, the amount of bidders and of successful bids are hidden from malicious attackers by our framework. Due to the need for small data throughput for the bidders, the communication links of our framework are based on a proprietary communication system. Still, in terms of data security, we adopt the Advanced Encryption Standard (AES) 128 bit with Exclusive-OR (XOR) keys due to their reduced computational complexity, allowing fast processing. Our framework outperforms the state-of-the-art solutions in terms of privacy protection and trading flexibility in a prosumer-to-prosumer design.https://www.mdpi.com/1424-8220/20/5/1337smart grid privacyenergy tradetraffic analysis attackcryptography |
| spellingShingle | Jayme Milanezi Junior João Paulo C. L. da Costa Caio C. R. Garcez Robson de Oliveira Albuquerque Arnaldo Arancibia Lothar Weichenberger Fábio Lucio Lopes de Mendonça Giovanni del Galdo Rafael T. de Sousa Jr. Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks Sensors smart grid privacy energy trade traffic analysis attack cryptography |
| title | Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks |
| title_full | Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks |
| title_fullStr | Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks |
| title_full_unstemmed | Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks |
| title_short | Data Security and Trading Framework for Smart Grids in Neighborhood Area Networks |
| title_sort | data security and trading framework for smart grids in neighborhood area networks |
| topic | smart grid privacy energy trade traffic analysis attack cryptography |
| url | https://www.mdpi.com/1424-8220/20/5/1337 |
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