Paper Details

Privacy-preserving data publishing addresses the problem of disclosing sensitive data when mining for usefulinformation. The problem of private data publishing, where different attributes for the same set of individuals are held bytwo parties is addressed by a two party authentication algorithm. In particular, an algorithm for differentially privatedata release for vertically partitioned data between two parties in their semi-honest adversary model is proposed. Theproposed algorithm is applied to the banking system where private data of the customers are required for banking andfor the data maintenance. In the banking system there is no differentiability in the private data each data will beprocessed and retrieved from the distinct data base only. The data will be processed from two distinct and differentdatabases. Each data has unique link between them using that link the data will be retrieved. Exraction of New Datafrom the Merged Data is performed. The implementation is all about Company Employee who has got Loan. EmployeeID plays as Primary Key and the List of Loan obtainers can be identified. Data is analyzed only by the AuthorizedPersons. The security of the private data of the employee transferred between the company and the bank is enhanced andthe results are stored in the data base.

Roja.M, Mr.S.P.Rajagopalan, “SECURED MULTIPARTY DATA FUSION AND EXTRACTION OF PRIVATE”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 4, pp. 82-87, April 2015.