Earticle

초록

영어

Data mining is the process of extracting hidden patterns of data. Association rule mining is an important data mining task that finds interesting association among a large set of data item. It may disclose pattern and various kinds of sensitive information. Such information may be protected against unauthorized access. Association rule hiding is one of the techniques of privacy preserving data mining to protect the association rules generated by association rule mining. This paper adopts data distortion technique for hiding sensitive association rules. 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. In the proposed technique, positions of sensitive items are altered while maintaining the support. The proposed technique uses the idea of representative rules to prune the rules first and then hides the sensitive rules.

목차

Abstract
 1. Introduction
 2. Techniques for Privacy Preserving Data Mining
 3. Problem Statement
 4. Problem Description
 5. Related Work
  5.1. Distortion Based Technique (Sanitization)-One Rule at A Time (Proposed By Veryki- os Et Al, Etc.)
  5.2. Distortion based Technique (sanitization) - on the basis of sensitive item (proposed by shyue-liang wang et al.)
  5.3. Critical Analysis of Existing Techniques
  5.4. Critical Analysis of Existing Methods Based on Altering Support and Confidence
 6. Proposed Approach
  6.1. Hiding Association Rules Using Concept of Representative Rules
 7. Proposed Algorithm
 8. Comparison with Existing Approach
 9. Characteristic of the Proposed Algorithm
 10. Conclusions
 References

키워드

저자

• K. Srinivasa Rao [ Department of Computer Science and Engineering, Vignan’s University, Vadlamudi, Guntur Dist, India ]
• CH. Suresh Babu [ Department of Computer Science and Engineering, Sree Vaanmayi Institute of Science & Technology, Bibinagar, Nalgonda, India ]
• A. Damodaram [ Department of Computer Science and Engineering, Academic Audit Cell, JNTUH,Kukatpally, Hyderabad ]
• Tai-hoon Kim [ Department of Convergence Security, Sungshin Women's University, 249-1, Dongseon-dong 3-ga, Seoul, 136-742, Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605