内蒙古民族大学学报（自然科学版）2026，Vol.41Issue(2)：51-57,7.DOI:10.14045/j.cnki.15-1220.2026.02.007
基于哈希算法的企业内部文档访问日志脱敏方法
A Method for Desensitizing Enterprise's Internal Document Access Logs Based on Hash Algorithm
摘要
Abstract
In the face of massive and high-speed access logs,the computational efficiency of some computationally intensive traditional data desensitizing methods becomes a bottleneck,indirectly affecting the balance between data pri-vacy protection and data utility.The article proposes a method for desensitizing enterprise's internal document access logs based on hash algorithm.The access logs are visualized as tuple form,and the identifier attribute is introduced in the K-anonymity privacy algorithm;the sensitive attributes of the access logs within the tuples are divided,and the cat-egory label list is output.Using the output list as the range of field attributes to be desensitized,an innovative fusion of one-way hash algorithm and random salt addition strategy is used for log access generalization desensitization.The out-put fixed length string replaces the sensitive attribute information in the original log,achieving efficient and reliable de-sensitization of log data.The experimental results show that when the number of concurrent thread requests is 1 500,the design method only takes an average of 125.36 ms to complete batch log desensitization.After using the design method for desensitization,the success rate of injection attacks is 0.42%,which can effectively resist 99.58%of re-identification attempts,demonstrating the strong application stability and security reliability of the design method.关键词
哈希算法/随机盐值/访问日志/数据脱敏Key words
hash algorithm/random salt value/access log/data desensitization分类
信息技术与安全科学引用本文复制引用
刘旸,张羚,宋平平..基于哈希算法的企业内部文档访问日志脱敏方法[J].内蒙古民族大学学报（自然科学版）,2026,41(2):51-57,7.基金项目
2022年度安徽省教育厅自然科学研究重点项目(2022AH052199) （2022AH052199）
2024年度芜湖职业技术学院校级人文社会科学研究重点项目(wzyrwzd202421) （wzyrwzd202421）
