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IJSRP, Volume 9, Issue 7, July 2019 Edition [ISSN 2250-3153]

      Nanna Babu Palla, Dr A Vinaya Babu, K Govinda Raju

Abstract: Collaborative data publishing from multiple data providers in recent is a common practice. Data owners publish these micro data for research and pattern analysis deploying data mining and high end intelligent retrieval systems. albeit, few attributes may necessitate sensitive data disclosure when nexus with external viable data sources resulting sensitive data leakage. MORAS algorithm , used in this work enlightens a framework to reduce the linkage attacks by adversary and deriving the population uniqueness to zero. Hence, the privacy infringements are eliminated in data publishing avenue.

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Reference this Research Paper (copy & paste below code):

Nanna Babu Palla, Dr A Vinaya Babu, K Govinda Raju (2019); Framework to Reduce the Adversary Linkage Attacks in Data Publishing: MORAS; International Journal of Scientific and Research Publications (IJSRP) 9(7) (ISSN: 2250-3153), DOI:



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