现代情报2025，Vol.45Issue(5)：77-88,12.DOI:10.3969/j.issn.1008-0821.2025.05.008
个人人社数据的敏感性识别与隐私计量研究
Research on Sensitivity Identification and Privacy Measurement of Personal Human Resources and Social Security Data
摘要
Abstract
[Purpose/Significance]The Current laws,regulations and industry standards propose graded protection for human resources and social security data,but all of them lack quantitative basis.This paper aims to solve the problem by quantitative measurement of human resources and social security privacy value.[Method/Process]The study surveyed human resources and social security related literature,established its privacy text base;built a framework for privacy vo-cabulary in human resources and social security,established a sensitive vocabulary in human resources and social security,and identified the sensitivity of human resources and social security data;design a privacy measurement model to measure the privacy values of human resources and social security data.[Result/Conclusion]According to the size of communica-tion privacy value,the sorting results of personal human resources and social security data are:salary and insurance bene-fits data,professional technical data,administrative work data,personal basic data,and onboarding mobility data.This paper explores objectively existing human resources and social security privacy texts,and the measurement results are ob-jective,providing a more scientific basis for the classification of human resources and social security data.关键词
人社数据/数据隐私/隐私计量/敏感性识别Key words
personal human resources and social security data/data privacy/privacy measurement/sensitivity identi-fication分类
社会科学引用本文复制引用
臧国全,周丽媛,张凯亮,柴文科,张恒苗..个人人社数据的敏感性识别与隐私计量研究[J].现代情报,2025,45(5):77-88,12.基金项目
国家社会科学基金重大项目"政府数据的隐私风险计量与保护机制创新研究"(项目编号:21&ZD338). （项目编号:21&ZD338）
