Research on information security of users’ electricity data including electric vehicle based on elliptic curve encryption
In the smart grid and big data environment, accurate and large amount of power load data for users can be obtained with the wide application of non-intrusive load monitoring technology. In the research process of customers’ information, information security protection of users’ electricity data has...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-11-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147720968458 |
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| _version_ | 1849691221856878592 |
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| author | Renwu Yan Chuan Lin Wen-feng Zhang Li-wen Chen Kang-ning Peng |
| author_facet | Renwu Yan Chuan Lin Wen-feng Zhang Li-wen Chen Kang-ning Peng |
| author_sort | Renwu Yan |
| collection | DOAJ |
| description | In the smart grid and big data environment, accurate and large amount of power load data for users can be obtained with the wide application of non-intrusive load monitoring technology. In the research process of customers’ information, information security protection of users’ electricity data has become a research hotspot urgently. This article proposes a new type of load decomposition method for electric vehicle load information and compares it with hidden Markov model algorithm to verify its accuracy. On this basis, the elliptic curve encryption algorithm is used to encrypt the users’ electricity data, and the function and effectiveness of the encryption algorithm are verified by comparing the load decomposition of the electric vehicle with the unencrypted data. |
| format | Article |
| id | doaj-art-e2d748d26d8c488d94a87cdbba06b147 |
| institution | DOAJ |
| issn | 1550-1477 |
| language | English |
| publishDate | 2020-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-e2d748d26d8c488d94a87cdbba06b1472025-08-20T03:21:06ZengWileyInternational Journal of Distributed Sensor Networks1550-14772020-11-011610.1177/1550147720968458Research on information security of users’ electricity data including electric vehicle based on elliptic curve encryptionRenwu Yan0Chuan Lin1Wen-feng Zhang2Li-wen Chen3Kang-ning Peng4Fujian Key Laboratory of Automotive Electronics and Electric Drive Technology, Fujian Colleges and Universities Engineering Research Center of Smart Grid Simulation & Analysis and Integrated Control, College of Information Science and Engineering, Fujian University of Technology, Fuzhou, ChinaFujian Colleges and Universities Engineering Research Center of Smart Grid Simulation & Analysis and Integrated Control, College of Information Science and Engineering, Fujian University of Technology, Fuzhou, ChinaCollege of Information Science and Engineering, Fujian University of Technology, Fuzhou, ChinaCollege of Information Science and Engineering, Fujian University of Technology, Fuzhou, ChinaCollege of Information Science and Engineering, Fujian University of Technology, Fuzhou, ChinaIn the smart grid and big data environment, accurate and large amount of power load data for users can be obtained with the wide application of non-intrusive load monitoring technology. In the research process of customers’ information, information security protection of users’ electricity data has become a research hotspot urgently. This article proposes a new type of load decomposition method for electric vehicle load information and compares it with hidden Markov model algorithm to verify its accuracy. On this basis, the elliptic curve encryption algorithm is used to encrypt the users’ electricity data, and the function and effectiveness of the encryption algorithm are verified by comparing the load decomposition of the electric vehicle with the unencrypted data.https://doi.org/10.1177/1550147720968458 |
| spellingShingle | Renwu Yan Chuan Lin Wen-feng Zhang Li-wen Chen Kang-ning Peng Research on information security of users’ electricity data including electric vehicle based on elliptic curve encryption International Journal of Distributed Sensor Networks |
| title | Research on information security of users’ electricity data including electric vehicle based on elliptic curve encryption |
| title_full | Research on information security of users’ electricity data including electric vehicle based on elliptic curve encryption |
| title_fullStr | Research on information security of users’ electricity data including electric vehicle based on elliptic curve encryption |
| title_full_unstemmed | Research on information security of users’ electricity data including electric vehicle based on elliptic curve encryption |
| title_short | Research on information security of users’ electricity data including electric vehicle based on elliptic curve encryption |
| title_sort | research on information security of users electricity data including electric vehicle based on elliptic curve encryption |
| url | https://doi.org/10.1177/1550147720968458 |
| work_keys_str_mv | AT renwuyan researchoninformationsecurityofuserselectricitydataincludingelectricvehiclebasedonellipticcurveencryption AT chuanlin researchoninformationsecurityofuserselectricitydataincludingelectricvehiclebasedonellipticcurveencryption AT wenfengzhang researchoninformationsecurityofuserselectricitydataincludingelectricvehiclebasedonellipticcurveencryption AT liwenchen researchoninformationsecurityofuserselectricitydataincludingelectricvehiclebasedonellipticcurveencryption AT kangningpeng researchoninformationsecurityofuserselectricitydataincludingelectricvehiclebasedonellipticcurveencryption |