文章基本信息

标题：Node Anonymization with Link Quality of Structural Similarity in Wireless Sensor Network
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作者：H.Lookman Sithic ; M.Latha
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：12
页码：22508
DOI：10.15680/IJIRSET.2017.0612052
出版社：S&S Publications
摘要：In recent few years social networking sites are facing a problem of various attacks on their networkwhich contains sensitive data. Usually social networks will publish their social network data for research purpose.Researchers and social network analysts can make use of these data to do research for decision making and marketanalysis. Before releasing the data for research, the social network site removes the identifiable parameters such asname, location, type of relationship, etc. Simply removing all identifiable personal information before releasing the datais insufficient. It is easy for an adversary to identify the target by performing different structural queries. Many of theprevious studies were concentrated only on the anonymization part. We identify a special type of attack calledstructural attack. With the aim of resisting various structural attacks, in this paper, we proposed a new and efficientframework called k-Autorestructure which to protect against multiple structural attacks. There is no doubt in that ourproposed algorithm will resist any kind of structural attack against the social network data.