Research on secure sharing technology of power big data based on consortium chain and attribute encryption
|更新时间:2026-04-19
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Research on secure sharing technology of power big data based on consortium chain and attribute encryption
Vol. 63, Issue 4, (2026)
作者机构:
广东电网有限责任公司广州供电局,广州,510700
作者简介:
基金信息:
DOI:
CLC:
Published:2026
稿件说明:
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LI Yunting, QIU Chaoming, LIANG Donggui. Research on secure sharing technology of power big data based on consortium chain and attribute encryption[J]. 2026, 63(4).
DOI:
LI Yunting, QIU Chaoming, LIANG Donggui. Research on secure sharing technology of power big data based on consortium chain and attribute encryption[J]. 2026, 63(4).DOI:
Research on secure sharing technology of power big data based on consortium chain and attribute encryption
Power big data covers all links such as power generation
transmission
transformation
distribution and consumption
featured with the characteristics of wide data sources
complex data structure
high real-time requirements and containing a large amount of sensitive information. During the sharing process
once the data is leaked
it will not only infringe upon the privacy of users
but also threaten the safe and stable operation of the power system. It has significantly increased the difficulty of sharing power big data. Traditional methods usually complete encryption directly before data sharing
but they cannot ensure the security of the encryption environment for power big data
resulting in the problem of theft still occurring during the sharing process. Therefore
a secure sharing technology for power big data based on consortium chain and attribute encryption is proposed. A power big data sharing platform is established based on alliance chain
on the consortium chain
attribute encryption methods are used to set encryption access strategies for power big data. The consortium chain can provide a trusted environment where all parties can record the sharing process and usage of data through blockchain
ensuring that only users who meet specific attribute conditions can access the corresponding power data; based on Lagrange interpolation and Shamir secret sharing scheme
power data is segmented and distributed to ensure the security and privacy of power data during the sharing process
while improving the efficiency and flexibility of power data access. The experimental results indicate that the proposed data security sharing method is more suitable for practical applications and has higher security.