A Novel Approach for Association Rule Hiding | OMICS International | Abstract
ISSN: 2277-1891

International Journal of Advance Innovations, Thoughts & Ideas
Open Access

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

A Novel Approach for Association Rule Hiding

Prof Padam Gulwani*

HOD (Computer Science & Engg),People’s college of Research & Technology,People’s University , Bhopal (M. P.)

*Corresponding Author:
Prof Padam Gulwani
Is Presently Serving As Head of the Department-School of Research & Technology, People's University, Bhopal.
Email- [email protected]


 Many strategies had been proposed in the literature to hide the information containing sensitive items. Some use distributed databases over several sites, some use data perturbation, some use clustering and some use data distortion technique. Present paper focuses on data distortion technique. Algorithms based on this technique either hide a specific rule using data alteration technique or hide the rules depending on the sensitivity of the items to be hidden. The proposed approach is based on data distortion technique where the position of the sensitive items is altered but its support is never changed. The proposed approach uses the idea of representative rules to prune the rules first and then hides the sensitive rules. Experimental results show that proposed approach hides the more number of rules in minimum number of database scans compared to existing algorithms based on the same approach i.e. data distortion technique.