BibTeX:

@article{IJIRSTV2I1005,
     title={Privacy Preserving Health Data Publishing using Secure two Party Algorithm},
     author={Sameera K M, Aparna Vinayan K, Meera R Nair and Shalini Balakrishnan},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={1},
     pages={33--38},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I1005.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

In this paper, we address the problem of private data publishing, where different attributes for the same set of individuals are held by two parties. Privacy-preserving data publishing addresses the problem of disclosing sensitive data when mining for useful information. In order to achieve this, we use two systems, namely hospital and insurance in which the two party algorithm is applied to get the resultant, shared dataset. The results are compared with k-anonymity algorithm as part of experiments and found to be better and more secure.

Differential Privacy, secure data integration, secure data publishing