互联网商业模式下大数据脱敏方法的探讨与研究  

Discussion and Research on Big Data Desensitization Method Under Internet Business Model

作　　者：张宁池 朱小娟 张宇 田叶 ZHANG Ning-chi;ZHU Xiao-juan;ZHANG Yu;TIAN Ye(Beijing Fibrilink Communications Co.,Ltd.,Beijing 100070 China)

机构地区：[1]北京中电飞华通信股份有限公司,北京100070

出　　处：《自动化技术与应用》2021年第1期150-154,共5页Techniques of Automation and Applications

摘　　要：针对互联网形式下大数据剧增,敏感、隐私数据容易丢失的问题,提出一种大数据脱敏技术方案,构建出包含资源层、数据层、服务层以及应用层的B/S的管理架构,能够在用户进行信息交互时,保护用户的敏感隐私信息,并对大数据脱敏方法进行了介绍,本文设计的方案能够有效地不同数据库中的敏感数据识别出来,并针对营销数据库、人工智能数据库、门户网站数据库三种不同类型业务系统进行示例性说明。试验表明,本文设计的方案使数据在脱敏时,其完整率、一致率、关联性都超过99%以上,数据防丢失能力大大增加。Aiming at the problem of big data surge in Internet form,sensitive and easy to lose private data,a big data desensitization technology scheme is proposed to construct a B/S management framework including resource layer,data layer,service layer and application layer.It can protect the user's sensitive private information when the user interacts with the information,and introduces the big data desensitization method.The scheme designed in this paper can effectively identify the sensitive data in different databases and target the marketing database and artificial intelligence database.The portal database has three different types of business systems for exemplary explanation.Experiments show that the scheme designed in this paper makes the data complete desensitization,its integrity rate,consistency rate,and correlation are more than 99%,and the data loss prevention capability is greatly increased.

关 键 词：互联网 大数据脱敏 数据库 敏感隐私信息 数据防丢失 

分 类 号：TP309.2[自动化与计算机技术—计算机系统结构]