Hiding Sensitive Items Using MDSRRC to Maintain Privacy in Database

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Provided by: Creative Commons
Topic: Big Data
Format: PDF
This paper focuses on the research in hiding sensitive association rules to maintain privacy and data quality in database. In this paper, the authors have proposed 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). The algorithm selects the items and transactions based on certain criteria which modify transactions to hide the sensitive information. Their evaluation shows that the proposed technique is highly valuable and maintains dataset quality.
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