International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 165 - Issue 2 |
Published: May 2017 |
Authors: Jayashri K. Bhosle, Vanja R. Chirch |
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Jayashri K. Bhosle, Vanja R. Chirch . M-Privacy for Collaborative Data Publishing. International Journal of Computer Applications. 165, 2 (May 2017), 20-22. DOI=10.5120/ijca2017913793
@article{ 10.5120/ijca2017913793, author = { Jayashri K. Bhosle,Vanja R. Chirch }, title = { M-Privacy for Collaborative Data Publishing }, journal = { International Journal of Computer Applications }, year = { 2017 }, volume = { 165 }, number = { 2 }, pages = { 20-22 }, doi = { 10.5120/ijca2017913793 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2017 %A Jayashri K. Bhosle %A Vanja R. Chirch %T M-Privacy for Collaborative Data Publishing%T %J International Journal of Computer Applications %V 165 %N 2 %P 20-22 %R 10.5120/ijca2017913793 %I Foundation of Computer Science (FCS), NY, USA
More than one data provider collaborate to publish their data is considered here. m-privacy is a technique proposed to defend m-adversary during collaborative data publishing. M-privacy satisfies the privacy problem while publishing sensitive data. Apart from providing privacy to published data, it is also necessary to provide security between the data provider and third party/un-trusted server, to ensure this, Secure multiparty communication (SMC) protocol is used to provide secure data transfer from publisher and server. There were techniques such as k-anonymity, l-diversity, t-closeness, which were proposed to handle external attacks in data publishing, but none is published for considering internal attacks. This m-privacy is a technique, which considers internal attacks. AIM: The goal is to publish an anonymized view of the integrated data such that a data recipient including the data providers will not be able to compromise the privacy of the individual records provided by other parties.