Application of Blockchain Technology in Power Financial Informatization and Security Architecture Design
- DOI
- 10.2991/978-94-6463-992-6_50How to use a DOI?
- Keywords
- Blockchain Technology; Power Financial Informatization; Security Architecture; Distributed Ledger
- Abstract
Traditional power financial informatization systems face critical challenges: centralized architectures cause data silos and delayed settlements, while vulnerabilities like data tampering and unauthorized access threaten financial security. Blockchain technology, with its decentralization, immutability, and traceability, offers a solution to these issues. This study explores the application of blockchain in power financial informatization and designs a tailored security architecture. Results show that the blockchain system reduces inter-provincial power transaction settlement time from 4 days to 8 h with data sourced from the pilot implementation of Grid N a regional power grid company in northern China. The security architecture eliminates data tampering (incidence rate 0.0%), reduces unauthorized access by 91.7%, and shortens vulnerability response time to 2 h. This research provides a feasible framework for enhancing the efficiency and security of power financial operations.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ming Yao AU - Yiqun Deng AU - Wanlong Huang AU - Yongtao Hu PY - 2026 DA - 2026/02/20 TI - Application of Blockchain Technology in Power Financial Informatization and Security Architecture Design BT - Proceedings of the 2025 4th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2025) PB - Atlantis Press SP - 538 EP - 544 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-992-6_50 DO - 10.2991/978-94-6463-992-6_50 ID - Yao2026 ER -