Earticle

초록

영어

Privacy preserving data mining is a research area concerned with the privacy driven from personally identifiable information when considered for data mining. This paper addresses the privacy problem by considering the privacy and algorithmic requirements simultaneously. The objective of this paper is to implement an association rule hiding algorithm for privacy preserving data mining which would be efficient in providing confidentiality and improve the performance at the time when the database stores and retrieves huge amount of data. This paper compares the performance of proposed algorithm with the two existing algorithms namely ISL and DSR.

목차

Abstract
 1. Introduction
 2. Data Blocking Method
 3. Types of Hiding Strategies
 4. Design of Association Rule Hiding Algorithm
 5. Simulation and Results
 6. Conclusion
 References

키워드

저자

• K. Srinivasa Rao [ Department of Computer Science & Engineering, VFSTR University, Guntur, A.P, India ]
• Venkata Naresh Mandhala [ Information Technology Department, VFSTR University, Vadlamudi-522213, Guntur, India ]
• Debnath Bhattacharyya [ Department of Computer Application, RCC Institute of Information Technology, Kolkata-700015, India ]
• Tai-hoon Kim [ Department of Convergence Security, Sungshin Women's University, 249-1, Dongseon-dong 3-ga, Seoul, 136-742, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605