文章基本信息

标题：Anonymization in Social Networks: A Survey on the issues of Data Privacy in Social Network Sites
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作者：A.Praveena ; Dr.S.Smys
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2016
卷号：5
期号：3
页码：15912-15918
DOI：10.18535/ijecs/v5i3.07
出版社：IJECS
摘要：Recent years have seen unprecedented growth in the popularity of social network systems. Social networks are onlineapplications which allow its users to connect by various link types. Online social networks, such as Facebook, LinkedIn areprogressively utilized by many people. It makes digital communication technologies sharpening tools for extending the social circle ofpeople. It has already become an important integral part of our daily lives, enabling us to contact our friends and families on time. Associal networks have developed rapidly, recent research has begun to explore social networks to understand their structure, advertisingand marketing, and data mining online population, representing 1.2 billion users around the world. More and more social network datahas been made publicly available and analyzed in one way or another.But some of the information revealed is meant to be private hence social network data has led to the risk of leakage of confidentialinformation of individuals. However, privacy concerns can be used to prevent these efforts. Privacy pre- serving publishing of socialnetwork data becomes a more and more important concern. This leads for privacy-preserving social network data mining, which is thediscovery of information and relationships from social network data without violating privacy. Privacy in online social networks datahas been of utmost concern. Hence, the research in this field is still in its early years. Privacy preservation is a significant research issuein social networking. Since more personalized information is shared with the public, violating the privacy of a target user become mucheasier. We argue that the different privacy problems are entangled and that research on privacy in OSNs would benefit from a moreholistic approach. In this paper, after an overview on different research subareas of SNSs, we will get more focused on the subarea ofprivacy protection in social network and we present a brief yet systematic review of the existing anonymization techniques for privacypreserving publishing of social net- work data.
关键词：Privacy attacks; social networks; Anonymization