期刊文献+

数据脱敏技术研究及展望 被引量:7

Research and Prospect of Data Masking Technology
下载PDF
导出
摘要 信息技术的快速发展和广泛应用,使得全球大数据储量和产业规模呈爆发式增长,数据已成为推动经济社会发展的重要生产要素。数据价值持续释放的同时,数据的安全性问题也越来越受到关注。近年来,全球范围内数据泄露事件频频发生,而针对数据安全的传统解决方法大都聚焦于通过数据加密、访问控制等来严格控制数据的应用范围,以降低数据泄露的风险,这明显不能满足当前数字经济发展的需求。数据脱敏技术作为能够解决平衡数据安全和数据共享问题的重要技术手段,正逐渐被应用于各行业领域中,并成为业界研究的热点。首先介绍了数据脱敏技术的基本概念和应用需求,然后详细阐述了数据脱敏技术的各类算法规则,最后对数据脱敏技术未来可能的发展趋势进行了展望。 The rapid development and widespread application of information technology lead to the explosive growth of global big data reserves and industrial scale,and data becomes an important factor of production to promote economic and social development.While the value of data continues to be released,the security of data also attracts more and more attention.In recent years,data leaks have occurred frequently around the world,and most of the traditional solutions for data security focus on strictly controlling the scope of data application through data encryption and access restrictions,etc.to reduce the risk of data leaks,which obviously cannot meet the needs of the current digital economy development.As an important technical means to solve the problem of balancing data security and data sharing,data masking technology is gradually being applied in various industrial fields and has become a hot research topic in the industry.This paper first introduces the basic concepts and application requirements of data masking technology,then elaborates various algorithm rules of data masking technology in detail,and finally looks forward to the possible development trend of data masking technology in the future.
作者 沈传年 徐彦婷 SHEN Chuannian;XU Yanting(Shanghai Branch of National Computer Network Emergency Response Technical Team/Coordination Center of China,Shanghai 201315,China)
出处 《信息安全与通信保密》 2023年第2期105-116,共12页 Information Security and Communications Privacy
关键词 敏感数据 静态数据脱敏 动态数据脱敏 K-匿名 数据安全 sensitive data static data masking dynamic data masking K-anonymity data security
  • 相关文献

参考文献25

二级参考文献111

共引文献597

同被引文献59

引证文献7

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部