面向数字图书馆用户隐私保护的匿名发布方法  

Anonymous publishing method for the protection of user privacy in digital library

作　　者：马丽[1] MA Li(Library of Xi’an Medical University,Xi’an 710021,China)

机构地区：[1]西安医学院图书馆

出　　处：《信息技术》2019年第9期88-91,96,共5页Information Technology

摘　　要：针对数字图书馆用户隐私保护问题,提出了一种基于图聚类匿名发布的敏感数据保护方法。该方法将数字图书馆用户数据建模为属性图,利用结构相似性和属性相似性对属性图中节点进行聚类,并将类簇中的节点信息进行匿名化处理,实现了用户数据的匿名化保护。实验结果表明,该方法在实现用户数据匿名保护的同时,有效减少了信息损失,提高了计算效率。Aiming at the problem of user privacy protection in digital library,a sensitive data protection method based on graph clustering anonymous publishing is proposed.In this method,user data in digital library is modeled as attribute graph,and nodes in attribute graph are clustered in structural similarity and attribute similarity,and then node information in cluster is anonymized to realize anonymous protection of user data.The experimental results show that this method can effectively reduce the loss of information and improve the computational efficiency while realizing the anonymous protection of user data.

关 键 词：数字图书馆 隐私保护 图聚类 K-匿名化 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TP309[自动化与计算机技术—计算机科学与技术]