A Review on Security Techniques for Privacy-Preserving in Data Mining-Reference-Cited by-同舟云学术

A Review on Security Techniques for Privacy-Preserving in Data Mining

Published:2019-09-30 Issue: Volume: Page:118-122
ISSN:2456-3307
Container-title:International Journal of Scientific Research in Computer Science, Engineering and Information Technology
language:en
Short-container-title:IJSRCSEIT

Author:

Chandwani K. S¹,Mishra Anjali²,Desai Ayushi²,Kushwaha Priyanka²,Nikose Sonal²,Wanjari Shivani²

Affiliation:

1. Professor, Department of Computer Technology, KDK College of Engineering, Nagpur, Maharashtra, India

2. CSE, SMT. Rajshri Mulak College of Engineering for Women, Nagpur, Maharashtra, India

Abstract

As the rise in the data mining algorithm the extraction of knowledge from the large data is getting easy. But due to this new problem of Privacy of the knowledge from the stored data at various servers is introduced. So, it is required to provide privacy of the sensitive data from the data miners. This paper focuses on various approaches implemented by the miners for preserving of information at individual level, class level, etc. A detail description with limitation of different techniques security of privacy preserving is explained.

Publisher

Technoscience Academy

Subject

General Medicine

Reference6 articles.

1. Yung-Wang Lin, Li-Cheng Yang, Luon-Chang Lin, and Yeong-Chin Chen, Preserving Privacy in Outsourced Database, International Journal of Computer and Communication Engineering, Vol. 3, No. 5, September 2015.

2. Sumeet Bajaj, RaduSion, TrustedDB: A Trusted Hardware based Database with Privacy and Data Confidentiality, In Proc. of IEEE Transactions on Knowledge and Data Engineering, 2013.

3. FoscaGiannotti, Laks V. S. Lakshmanan, Anna Monreale, Dino Pedreschi, and Hui (Wendy) Wang, Privacy-Preserving Mining of Association Rules From Outsourced Transaction. Databases, IEEE SYSTEMS JOURNAL, VOL. 7, NO. 3, SEPTEMBER 2012.

4. Lena Wiese,Horizontal Fragmentation for Data Outsourcing with Formula-Based Confidentiality Constraints, Advance in information and computer security, Springer 2010.