earticle

영어

Blockchain is a distributed ledger technology that enables accurate and transparent transactions, _and it is frequently used_ when handling multivariate, high precision data such as medical and financial transactions. When processing data with a blockchain based multivariate structure, dimensionality reduction for unnecessary information and processing efficiency through principal component analysis are required for computational efficiency. In this paper, in order to improve the efficiency of data processing when processing the relevant data on the Hyperledger Fabric platform, PCA (Principal Component Analysis) based covariance structure analysis was applied, and the results were applied as smart contract automatic contract variables to enable efficiency based transactions. Through this paper, _This study_ were able to extract meaningful principal components from multivariate data, maintain trust based data management, and increase efficiency related to computational complexity and data processing speed through lightweight processing, proving that the processing speed was improved by more than 12% compared to the experimental results without PCA application.