现代电子技术2025，Vol.48Issue(6)：52-56,5.DOI:10.16652/j.issn.1004-373x.2025.06.008
基于区块链与模糊聚类算法的区域大数据分析技术研究
Research on regional big data analysis technology based on blockchain and fuzzy clustering algorithm
摘要
Abstract
Financial data has the characteristics of nonlinearity and high dimensionality,while also requiring high security.By combining with blockchain technology and fuzzy clustering algorithm,an anomaly data analysis model for regional internet finance is proposed.This model is composed of anomaly data analysis algorithm and privacy protection algorithm.In allusion to the weakness of the fuzzy mean clustering algorithm in processing high-dimensional nonlinear data,the anomaly data analysis algorithm can use the deep belief networks to improve the data processing capabilities of the model.In the privacy protection,the differential privacy protection algorithm can be used to protect data without utilizing background knowledge,while ensuring data availability.In the experimental testing,the proposed fuzzy clustering algorithm was compared with commonly used mainstream K-Means and DPC algorithms.The results show that the performance of the proposed algorithm is the best among all comparison algorithms.At the same time,the impact of incorporating privacy protection algorithm on clustering results can remain within 0.021,fully demonstrating the superiority of the performance of this algorithm.关键词
模糊聚类算法/区块链技术/异常数据识别/深度信念网络/差分隐私保护算法/区域数据分析Key words
fuzzy clustering algorithm/blockchain technology/nonlinear data identification/deep belief network/differential privacy protection algorithm/regional data analysis分类
信息技术与安全科学引用本文复制引用
何颖..基于区块链与模糊聚类算法的区域大数据分析技术研究[J].现代电子技术,2025,48(6):52-56,5.基金项目
福建省社科青年基金项目(FJ2016C142) （FJ2016C142）
