南京大学学报（自然科学版）2023，Vol.59Issue(6)：970-980,11.DOI:10.13232/j.cnki.jnju.2023.06.007
基于三支决策的新型分类匿名模型
A novel classified anonymity model based on the three-way decisions
摘要
Abstract
Data anonymization technology is the most widespread data privacy protection technology as it maximizes data availability and computational efficiency while protecting data privacy.However,existing data anonymization models adopt the binary classification anonymity model,and this either-or treatment is often overly biased,resulting in massive unnecessary information loss.To address this problem,this paper combines the idea of three-way decisions and proposes a novel classification anonymity model based on three-way decisions.Firstly,we propose the concept of anonymous upper,lower bounds and fuzzy data on the basis of k-anonymity model.Secondly,the idea of three-way decisions is introduced into the data anonymization,and the marginal fuzzy data that may appear in the actual decision process is considered by delaying the decision.A novel three-way classified anonymity model,the(Uk,Lk)-classified anonymity model is proposed.Then,in order to verify the usability of the proposed model,the fuzzy data are reprocessed by adding noise in the delayed decision in combination with the idea of differential privacy.Finally,experimental results demonstrate that the proposed model improves the data availability well and is more applicable in practical application scenarios.关键词
k-匿名/数据匿名/隐私保护/粗糙集/三支决策Key words
k-anonymity/data anonymization/privacy preservation/rough set/three-way decisions分类
信息技术与安全科学引用本文复制引用
蒋浩英,钱进,王滔滔,洪承鑫,余鹰..基于三支决策的新型分类匿名模型[J].南京大学学报（自然科学版）,2023,59(6):970-980,11.基金项目
国家自然科学基金(62066014,62163016),江西省双千计划,江西省自然科学基金(20202BABL202018,20212ACB202001,20224BAB212014,20232ACB202013),江西省研究生创新专项基金(YC2022-s498) （62066014,62163016）
