The main aspire of this research work is, to develop proficient methodology to find privacy preserving association rule mining in centralized environment without infringement of any privacy constraints. The issue of privacy constraints for centralized database environment is entirely different from distributed database environment. The goal of attaining privacy in centralized database environment is, to obtain a distorted database which hides the sensitive item sets. When mining task is performed on distorted database all the sensitive rules should be hidden without any side effects. Based on heuristic approach, a new me-thodology is proposed by incorporating suggested Criteria1 and Criteria2 to identify the victim item and selecting suitable supporting transactions efficiently for sanitization purpose to hide the sensitive item sets.