연구 분야: Cryptography
학회: International Conference on Innovative Computing
Existing carbon emission data accounting and management methods rely too much on centralized databases or manual records, which makes it difficult to ensure the authenticity of data and is vulnerable to cyber-attacks leading to data leakage. This article adopts a real-time processing framework for carbon emission data accounting and management based on blockchain, and uses distributed storage, smart contracts and encryption technology to solve the problem. In the data collection stage, meteorological, GIS (Geographical information system) and industrial data are obtained through sensors, remote sensing and other channels, and data mining technology is used to clean, filter, convert and analyze data. To ensure data security and privacy, Paillier_DJN_CRT homomorphic encryption algorithm is used for encryption. In the data storage and accounting stage, smart contracts realize automatic data registration, fast authentication and reliable sharing to ensure data consistency and integrity. Anti-collision hash functions and bilinear pairing technology are used to enhance system security and anti-tampering capabilities. The research results show that the average processing and delay time of the dataset under this method are 18.14 s and 0.185 s, respectively, and the average data tampering detection rate and data security are 96.83% and 92.59%, respectively. The research proves that the designed framework has the performance of high efficiency, practicality and scalability, which can meet the needs of real-time carbon emission monitoring and provide important technical support for global carbon emission management.
| 발행 연도 | 2025년 |
|---|---|
| 인용수 | 0 |
| 출판 국가 | Andorra, China |
| 사이트 | Springer |
| 좋아요 수 | 0 |