辽宁大学学报（自然科学版）2024，Vol.51Issue(2)：147-157,11.
支持K-近邻搜索的区块链泛用型数据隐私保护方法
Blockchain Universal Data Privacy Protection Method Supporting K-Nearest Neighbor Search
摘要
Abstract
With the continuous expansion of blockchain universal data application scenarios,it involves more and more data privacy.Data privacy leakage may lead to personal credit damage,property losses,and even identity theft.Reasonable and efficient protection of user identity information and data privacy is a key issue in ensuring the security of blockchain universal data.To this end,a blockchain universal data privacy protection method that supports K-nearest neighbor search has been proposed.Collect blockchain universal data,use k-prototypes algorithm to cluster blockchain universal data,and control classification and numerical attributes.On this basis,this article supports K-nearest neighbor search,establishes a blockchain universal data system model,identifies sensitive areas of blockchain universal data,and achieves blockchain universal data privacy protection.The experimental results show that the proposed method has a good effect on blockchain universal data privacy protection,can effectively improve the security of blockchain universal data privacy protection,and shorten the time for blockchain universal data privacy protection.关键词
K-近邻搜索/区块链/泛用型数据/k-prototypes算法/数据隐私保护Key words
K-nearest neighbor search/blockchain/universal data/k-prototypes algorithm/data privacy protection分类
信息技术与安全科学引用本文复制引用
王胜,潘正高,董全德..支持K-近邻搜索的区块链泛用型数据隐私保护方法[J].辽宁大学学报（自然科学版）,2024,51(2):147-157,11.基金项目
安徽省教育厅软件工程专业卓越工程师培养创新项目(2020zyrc163) （2020zyrc163）
宿州学院科研平台开放课题(2020ykf02) （2020ykf02）
安徽省重点研究与技术开发计划项目(202004a06020045) （202004a06020045）
