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M-Privacy for Collaborative Data Publishing
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 165 - Number 2 |
| Year of Publication: 2017 |
| Authors: Jayashri K. Bhosle, Vanja R. Chirch |
10.5120/ijca2017913793
|
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
Abstract
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.
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