Secure communication in a private network

This paper describes the problem of Privacy Preserving data Mining Data mining is the process of extracting hidden information in the database. The current trend in business colaboration shares the data mine results gain mutual benefits of. Privacy preserving data mining has become increasingly popular because it is allowing the sharing of private sensitive data for analysis purposes. It describes some of the common cryptographic tools and Constructs used in several PPDM. An anonymous ID assignment technique is used teratively to assign the nodes with ID numbers ranges from 1 to N. This technique enhances data that are more complex to be shared securely. The nodes are assigned with the anonymous ID with the help of a central authority. The algorithm has been compared with the existing algorithm.