Blockchain Data Secure Transmission Method Based on Homomorphic Encryption

Author:

Peng Sheng12ORCID,Cai Zhiming1ORCID,Liu Wenjian1,Wang Wennan13,Li Guang1,Sun Yutin2,Zhu Linkai4ORCID

Affiliation:

1. Faculty of Data Science, City University of Macau, Macau, China

2. Zhuhai Yingying Technology Co., Ltd, Zhuhai, China

3. Zhuhai College of Science and Technology, Zhuhai, China

4. Trusted Computing and Information Assurance Laboratory, Institute of Software Chinese Academy of Sciences, Beijing, China

Abstract

To ensure the security of data transmission and recording in Internet environment monitoring systems, this paper proposes a study of a secure method of blockchain data transfer based on homomorphic encryption. Blockchain data transmission is realized through homomorphic encryption. Homomorphic encryption can not only encrypt the original data, but also ensure that the data result after decrypting the data is the same as the original data. The asymmetric encrypted public key is collected by Internet of things (IoT) equipment to realize the design of blockchain data secure transmission method based on homomorphic encryption. The experimental results show that the accuracy of the first transmission is as high as 88% when using the transmission method in this paper. After several experiments, the transmission accuracy is high by using the design method in this paper. In the last test, the transmission accuracy is still 88%, and the data transmission effect is relatively stable. At the same time, compared to the management method used in this article, the transfer method used in this paper is more reliable than the original transfer method and is not prone to data distortion. It can be seen that this method has high transmission accuracy and short transmission time, which effectively avoids the data tampering caused by too long time in the transmission process.

Funder

Research on Key Technologies of Cross-Domain Data Compliance and Mutual Trust Computing in Zhuhai and Macau

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

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