A Survey on Security of Association Rules Using RDT in Distributed Network

In many data mining methodologies as the data become more and more to process then they are unable to work in a single machine. So as a solution to this distributed paradigm is a suitable scenario. By creating random decision trees to distribute the data in the network it becomes easy to handle the scenario. But in the distributed network maintaining privacy of the data becomes a challenging job. Most of the association rules are becoming so heavy for large datasets. So proposed system introduces an idea of performing horizontal and vertical association using Apriori and clat algorithm respectively in the distributed paradigm. For maintaining the privacy of the data we are using the most secured reverse circle cipher cryptography technique.