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Maintaining Data Confidentiality in Association Rule Mining in Distributed Environment


Mr.Abhishek P. Bangar , SPCOE.Dumbarwadi ; Mr.Deokate G.S., Mr.Abhishek P. Bangar


Association Rules, Frequent Pattern Mining, Security, Integrity, Protection


The data in real world applications is distributed at multiple locations, and the owner of the databases may be different people. Thus to perform mining task, the data needs to be kept at central location which causes threat to the privacy of corporate data. Hence the key challenge is to applying mining on distributed source data with preserving privacy of corporate data. The system addresses the problem of incrementally mining frequent itemsets in dynamic environment. The assumption made here is that, after initial mining the source undergoes into small changes in each time. The privacy of data should not be threatened by an adversary i.e. the miner and target database owner should not be able to recover original data from transformed data.

Other Details

Paper ID: IJSRDV3I100218
Published in: Volume : 3, Issue : 10
Publication Date: 01/01/2016
Page(s): 1061-1063

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