Abstract: This paper describes the problem of Privacy Preserving Data Mining (PPDM). Data mining is the process of extracting hidden information from the database. The current trend in business collaboration shares the data and mine results to gain mutual benefit. 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 iteratively 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.


Keywords: PPDM, anonymous id, privacy preservation, AIDA algorithm