A. Karthikeyan, M. S. Vinmathi, M. Mahendran, Panimalar Engineering College, Chennai, Tamilnadu, India.
DOI : 01.0401/ijaict.2014.08.04
International Journal of Advanced Information and Communication Technology
Received On : April 12, 2017
Revised On : May 15, 2017
Accepted On : June 10, 2017
Published On : July 05, 2017
Volume 04, Issue 07
Pages : 683-687
Abstract
Data mining techniques have been extensively used in a variety of applications. However, the mistreatment of these techniques may lead to the discovery of sensitive information. Researchers have newly made efforts at hiding sensitive association rules. The Hiding of Sensitive Rules is done by Modification Schemes. However, undesired side effects, e.g., no sensitive rules wrongly hidden and spurious rules falsely generated, may be formed in the rule hiding process. In this paper, we present a novel approach that intentionally modifies a few transactions in the transaction database to diminish the supports or confidences of sensitive rules without producing the side effects. Since the correlation between rules can make it impracticable to accomplish this goal, in this paper we recommend heuristic methods for increasing the number of secreted sensitive rules and reducing the number of modified entries. The experimental consequences show the value of our approach, i.e., undesired side effects are avoided in the rule hiding process. The outcome also report that in most cases, all the sensitive rules are hidden without spurious rules falsely generated. Moreover, the good scalability of our approach in terms of database size and the authority of the correlation among rules on rule hiding are experimental.
Keywords
Modification Schemes, supports confidences.
Cite this article
A. Karthikeyan, M. S. Vinmathi, M. Mahendran, “Enhance the Sensitive Hiding Rules via Novel Approach” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.683-687, July 05, 2017.
Copyright
© 2017 A. Karthikeyan, M. S. Vinmathi, M. Mahendran. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.