文章基本信息

标题：Enhanced M-Privacy for Collaborative Data Publishing
本地全文：下载
作者：Aseema Jana ; Shubham Joshi
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2014
卷号：2
期号：11
出版社：S&S Publications
摘要：In recent years, privacy takes an important role to secure the data from various probable attackers. Whenfor public advantage data need to be shared as required for Health care and researches, individual privacy is majorconcern regarding sensitive information. So while publishing such data, privacy should be conserved .While publishingcollaborative data to multiple data provider’s two types of problem occurs, first is outsider attack and second is insiderattack. Outsider attack is by the people who are not data providers and insider attack is by colluding data provider whomay use their own data records to understand the data records shared by other data providers. The paper focuses oninsider attack, and makes some contributions. This problem can be overcome by combining slicing techniques with mprivacytechniques and addition of protocols as secure multiparty computation and trusted third party will increase theprivacy of system effectively.
关键词：Privacy; security; integrity; collaborative publishing; slicing; distributed databases