Publication | Closed Access
Hiding sensitive association rules to maintain privacy and data quality in database
45
Citations
9
References
2013
Year
Unknown Venue
EngineeringInformation SecurityAlgorithm DsrrcPattern MiningPseudonymizationData ScienceData MiningData AnonymizationPrivacy SystemData ManagementSensitive Association RulesKnowledge DiscoveryData PrivacyData QualityMultiple ItemsComputer ScienceData SecurityCryptographyFrequent Pattern MiningAssociation RuleBusinessInformation HidingDatabase Security
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.
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