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Privacy Preserving Mining Association Rule from Outsourced Transaction


Thiruvenkatasamy, Deverajsamy. S, Dhanraj. M
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Reproached by developments such as cloud computing, there has been considerable recent interest in paradigm of data mining-as-a-service. The company (data owner) lacking in expertise or computational resources can outsource it’s to the third revelry service worker (server). However, both items and association rules of outsourced database are considered private property of corporation (data owner). To protect corporate privacy, data owner transforms its data and ships it to server, sends mining queries to server, and recovers true patterns from extracted patterns received from server. In these paper, we study problem of outsourcing association rule mining task within the corporate privacy-preserving outline. We recommend an attack model based on background knowledge and devise the scheme for privacy preserving outsourced mining. Our scheme ensures that each transformed item was indistinguishable, w.r.t. attacker’s background knowledge, from at minimum k-1 other transformed items. Our comprehensive experiments on the very large and real transaction database establish that our systems are effective, scalable, and protect privacy.

Thiruvenkatasamy, Deverajsamy. S, Dhanraj. M

Rule Mining Task, Outsourced Mining, Direct Mail Marketing, Privacy Preserving.

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Publication Details

Published in : Volume 2 | Issue 2 | March-April - 2016
Date of Publication Print ISSN Online ISSN
2016-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
189-193 IJSRSET162253   Technoscience Academy

Cite This Article

Thiruvenkatasamy, Deverajsamy. S, Dhanraj. M, "Privacy Preserving Mining Association Rule from Outsourced Transaction", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.189-193, March-April-2016.
URL : http://ijsrset.com/IJSRSET162253.php