International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 173 - Issue 1 |
Published: Sep 2017 |
Authors: Jayashri K. Bhosle, Vanja R. Chirchi |
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Jayashri K. Bhosle, Vanja R. Chirchi . Security of Collaborative Data Publishing in Multiparty Communication. International Journal of Computer Applications. 173, 1 (Sep 2017), 20-23. DOI=10.5120/ijca2017915227
@article{ 10.5120/ijca2017915227, author = { Jayashri K. Bhosle,Vanja R. Chirchi }, title = { Security of Collaborative Data Publishing in Multiparty Communication }, journal = { International Journal of Computer Applications }, year = { 2017 }, volume = { 173 }, number = { 1 }, pages = { 20-23 }, doi = { 10.5120/ijca2017915227 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2017 %A Jayashri K. Bhosle %A Vanja R. Chirchi %T Security of Collaborative Data Publishing in Multiparty Communication%T %J International Journal of Computer Applications %V 173 %N 1 %P 20-23 %R 10.5120/ijca2017915227 %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.