Threshold Cryptosystem Mining of Association Rules using Horizontal Distributed Database
|International Journal of Computer Science and Engineering|
|© 2016 by SSRG - IJCSE Journal|
|Volume 3 Issue 3|
|Year of Publication : 2016|
|Authors : T.Satish Vijay Rajeev, Gousiya Begum|
How to Cite?
T.Satish Vijay Rajeev, Gousiya Begum, "Threshold Cryptosystem Mining of Association Rules using Horizontal Distributed Database," SSRG International Journal of Computer Science and Engineering , vol. 3, no. 3, pp. 1-8, 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I3P101
We propose a protocol for secure mining of association rules in horizontally distributed databases. The current leading protocol is that of Kantarcioglu and Clifton. Our protocol, like theirs, is based on the Fast Distributed Mining (FDM) algorithm of Cheung et al. which is an unsecured distributed version of the Apriori algorithm. The main ingredients in our protocol are two novel secure multi-party algorithms — one that computes the union of private subsets that each of the interacting players hold, and another that tests the inclusion of an element held by one player in a subset held by another. Our protocol offers enhanced privacy with respect to the protocol in . In addition, it is simpler and is significantly more efficient in terms of communication rounds, communication cost and computational cost.
threshold-c, mergekc, privacy, association rules, FDM.
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