Security requirement classification of electricity trading data based on hierarchical fuzzy Petri network
With the emergence of spot electricity trading, market-oriented trading has been intensively carried out, forming a multi-cycle trading system. In this process, a large amount of fine-grained electricity trading data circulates on the trading platform. Trading data is an important basis for decision...
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Format: | Article |
Language: | English |
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Elsevier
2023-09-01
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Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484723004419 |
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author | Xi Luo Letian He Xiao Wei Mao Zhu Zhiyi Li |
author_facet | Xi Luo Letian He Xiao Wei Mao Zhu Zhiyi Li |
author_sort | Xi Luo |
collection | DOAJ |
description | With the emergence of spot electricity trading, market-oriented trading has been intensively carried out, forming a multi-cycle trading system. In this process, a large amount of fine-grained electricity trading data circulates on the trading platform. Trading data is an important basis for decision-making in the electricity spot market, which directly affects the trading profits of market entities, proper disclosure of this information is very important for market enterprises. Information disclosure must ensure the validity and security. However, it is hard to judge the security demand for trading data, and there is no suitable evaluation system for determining the security requirement of data, which will limit the electricity market’s further development. In this paper, we first design an indicator system for security requirements classification, which manages data risks from three aspects: data classification, data risk, and entity demand. This system will guide us in determining data security requirements and further help identify differentiated data security protection schemes. Then, based on this system, we propose the classification method of data security requirements through a hierarchical fuzzy Petri net. The lower network realizes a reasonable assessment of data risk with reference to the index system, and the upper network finally determines the level of security requirements through the fuzzy rule base. Last, two types of data are selected to judge their security requirements. The results show that our method can provide a reference for privacy protection in electricity market data. |
first_indexed | 2024-03-12T02:22:27Z |
format | Article |
id | doaj.art-c149140360d0459c92e6f362d77f7dd7 |
institution | Directory Open Access Journal |
issn | 2352-4847 |
language | English |
last_indexed | 2024-03-12T02:22:27Z |
publishDate | 2023-09-01 |
publisher | Elsevier |
record_format | Article |
series | Energy Reports |
spelling | doaj.art-c149140360d0459c92e6f362d77f7dd72023-09-06T04:51:40ZengElsevierEnergy Reports2352-48472023-09-019189199Security requirement classification of electricity trading data based on hierarchical fuzzy Petri networkXi Luo0Letian He1Xiao Wei2Mao Zhu3Zhiyi Li4Technical Section, Zhejiang Power Exchange Center, Zhejiang 310000, ChinaTechnical Section, Zhejiang Power Exchange Center, Zhejiang 310000, ChinaTechnical Section, Zhejiang Power Exchange Center, Zhejiang 310000, ChinaSchool of Electrical Engineering, Zhejiang University, Zhejiang 310012, China; Corresponding author.School of Electrical Engineering, Zhejiang University, Zhejiang 310012, ChinaWith the emergence of spot electricity trading, market-oriented trading has been intensively carried out, forming a multi-cycle trading system. In this process, a large amount of fine-grained electricity trading data circulates on the trading platform. Trading data is an important basis for decision-making in the electricity spot market, which directly affects the trading profits of market entities, proper disclosure of this information is very important for market enterprises. Information disclosure must ensure the validity and security. However, it is hard to judge the security demand for trading data, and there is no suitable evaluation system for determining the security requirement of data, which will limit the electricity market’s further development. In this paper, we first design an indicator system for security requirements classification, which manages data risks from three aspects: data classification, data risk, and entity demand. This system will guide us in determining data security requirements and further help identify differentiated data security protection schemes. Then, based on this system, we propose the classification method of data security requirements through a hierarchical fuzzy Petri net. The lower network realizes a reasonable assessment of data risk with reference to the index system, and the upper network finally determines the level of security requirements through the fuzzy rule base. Last, two types of data are selected to judge their security requirements. The results show that our method can provide a reference for privacy protection in electricity market data.http://www.sciencedirect.com/science/article/pii/S2352484723004419Fuzzy petri networkSecurity requirementElectricity trading dataRisk assessmentFuzzy rule |
spellingShingle | Xi Luo Letian He Xiao Wei Mao Zhu Zhiyi Li Security requirement classification of electricity trading data based on hierarchical fuzzy Petri network Energy Reports Fuzzy petri network Security requirement Electricity trading data Risk assessment Fuzzy rule |
title | Security requirement classification of electricity trading data based on hierarchical fuzzy Petri network |
title_full | Security requirement classification of electricity trading data based on hierarchical fuzzy Petri network |
title_fullStr | Security requirement classification of electricity trading data based on hierarchical fuzzy Petri network |
title_full_unstemmed | Security requirement classification of electricity trading data based on hierarchical fuzzy Petri network |
title_short | Security requirement classification of electricity trading data based on hierarchical fuzzy Petri network |
title_sort | security requirement classification of electricity trading data based on hierarchical fuzzy petri network |
topic | Fuzzy petri network Security requirement Electricity trading data Risk assessment Fuzzy rule |
url | http://www.sciencedirect.com/science/article/pii/S2352484723004419 |
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