Title :
Hiding sensitive association rules to maintain privacy and data quality in database
Author :
Domadiya, Nikunj H. ; Rao, Udai Pratap
Author_Institution :
Comput. Sci. & Eng. Dept., Sardar Vallabhbhai Nat. Inst. of Technol., Surat, India
Abstract :
In this paper, we propose a heuristic based algorithm named MDSRRC (Modified Decrease Support of R.H.S. item of Rule Clusters) to hide the sensitive association rules with multiple items in consequent (R.H.S) and antecedent (L.H.S). This algorithm overcomes the limitation of existing rule hiding algorithm DSRRC. Proposed algorithm selects the items and transactions based on certain criteria which modify transactions to hide the sensitive information. Experimental result shows that proposed algorithm is highly efficient and maintains database quality.
Keywords :
data encapsulation; data mining; data privacy; LHS; MDSRRC; data quality; database quality; heuristic based algorithm; modified decrease support of RHS item of rule clusters; privacy; rule hiding algorithm; sensitive association rule hiding; sensitive information hiding; Algorithm design and analysis; Association rules; Clustering algorithms; Data privacy; Databases; Sensitivity; Association rule; Privacy preserving data mining (PPDM); Sensitive pattern; Sensitivity;
Conference_Titel :
Advance Computing Conference (IACC), 2013 IEEE 3rd International
Conference_Location :
Ghaziabad
Print_ISBN :
978-1-4673-4527-9
DOI :
10.1109/IAdCC.2013.6514417
