Hiding Sensitive Association Rule Using Clusters of Sensitive Association Rule

The security of the large database that contains certain crucial information, it will become a serious issue when sharing data to the network against unauthorized access. Association rules hiding algorithms get strong and efficient performance for protecting confidential and crucial data. The objective of the proposed Association rule hiding algorithm for privacy preserving data mining is to hide certain information so that they cannot be discovered through association rule mining algorithm. The main approached of association rule hiding algorithms to hide some generated association rules, by increase or decrease the support or the confidence of the rules. The association rule items whether in Left Hand Side (LHS) or Right Hand Side (RHS) of the generated rule, that cannot be deduced through association rule mining algorithms. The concept of Increase Support of Left Hand Side (ISL) algorithm is decrease the confidence of rule by increase the support value of LHS. It doesn’t work for both side of rule. It works only for modification of LHS. In this paper, we propose a heuristic algorithm named ISLRC (Increase Support of L.H.S. item of Rule Clusters) based on ISL approach to preserve privacy for sensitive association rules in database. Proposed algorithm modifies fewer transactions and hides many rules at a time. The efficiency of the proposed algorithm is compared with ISL algorithms.