计算机技术与发展Issue(8)：152-155,4.DOI:10.3969/j.issn.1673-629X.2015.08.032
基于DSNPP算法的社交网络隐私保护方法
Privacy-preserving Approach in Social Networks Based on DSNPP Algorithm
摘要
Abstract
With the rapid development of social network,an important safety hazard that exists in the process of data publishing is leak-age. For the questions that most researches on social network privacy protection do not realize existence of protecting privacy in property and community structures,considering the both,propose a method of social networking privacy,Density for Social Network Privacy-Pre-serving ( DSNPP) . The algorithm is based on density clustering method,which gets clusters in arbitrary shape through nodes cluster anal-ysis,and it uses the technology of generalizing cluster nodes,inserting the real nodes in the cluster,increasing corresponding edges and so on to protect information of nodes and the relationship between nodes,which achieves purpose of social networks privacy protection. Fi-nally,compared with p-Sensitive k-anonymous algorithm and GSNPP algorithm,the algorithm has the advantage in the amount of infor-mation loss,and it can obtain higher privacy protection.关键词
社交网络/隐私保护/密度聚类/真实节点/泛化Key words
social networks/privacy preservation/density clustering/real nodes/generalization分类
信息技术与安全科学引用本文复制引用
张付霞,蒋朝惠..基于DSNPP算法的社交网络隐私保护方法[J].计算机技术与发展,2015,(8):152-155,4.基金项目
贵州省科学技术基金项目(黔科合J字{2012}2128号) （黔科合J字{2012}2128号）
贵州大学研究生创新基金资助项目(校研理工2015017) （校研理工2015017）
