文章基本信息

标题：Multiparty Access Control and Content Based Filtering for Online Social Networks
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作者：J.Sinduja ; R.China Appala Naidu
期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：6
页码：12745-12749
出版社：IJECS
摘要：Today the social network is that the most significant space to the users to connect with every other .it provides a lot of facility tothe users and conjointly a lot of drawbacks for users. it's seen tremendous growth in on-line in recent years in social networks. These OSNsaren't solely engaging for data sharing and virtual social interactions, however jointly raise privacy problems and variety of security. thoughOSNs enable one user to get access the information, they presently don't give any mechanism to enforce privacy issues over information datamultiple users. The remaining privacy violations for the most part unresolved and resulting in the potential revealing of knowledge, that atleast one user supposed to stay non-public. during this paper, propose AN approach to change cooperative privacy management of sharedinformation in OSNs. specifically, give a scientific mechanism to spot and resolve privacy conflicts for cooperative data sharing. The conflictresolution indicates a trade-off between privacy protection and information sharing by quantifying privacy risk and sharing loss. Andconjointly mentioned a proof-of-concept prototype implementation of approach as a region of an application in Face book and supply systemanalysis and value study of our methodology
关键词：Privacy issues; Filtering rule; Artificial intelligence;Fuzzy Rules.