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：2015
卷号：3
期号：6
DOI：10.15680/ijircce.2015.0306177
出版社：S&S Publications
摘要：In recent years sharing of data becomes a significant activity and privacy takes a major role in securingthe data from various attackers. Publication of shared data is either motivated by public benefit or by systems likeNHIN i.e. nationwide health information network and Center for Disease Control and Prevention, who collectsinformation from various health organizations and provides the same to health professionals and researchers tounderstand and address particular diseases more effectively. Preserving the privacy of individuals while publishingtheir linked data is a vital problem as original data contains sensitive information of individuals and publishing suchdata will violate individual privacy. There are chances of attacks when we are publishing collaborative data to variousdata providers. Attack can be done by people who are not part of data sharing, called as outsider attack and attack canalso be done by those people who are part of this data sharing system, this is called as insider attack, where dataproviders themselves uses their own data to infer the data of other data providers. The paper discusses approaches toovercome these attacks by combining slicing and m-Privacy techniques. Implementation on Hive which is implementedon HDFS helps to reduce the computation time and Use of pattern matching algorithm will protect the system from sqlinjection attacks.
