DocumentCode
260891
Title
Privacy preserving data mining techniques-survey
Author
Dhanalakshmi, M. ; Sankari, E. Siva
Author_Institution
CSE Gov. Coll. of Eng., Tirunelveli, India
fYear
2014
fDate
27-28 Feb. 2014
Firstpage
1
Lastpage
6
Abstract
Privacy preserving is one of the most important research topics in the data security field and it has become a serious concern in the secure transformation of personal data in recent years. A number of algorithmic techniques have been designed for Privacy Preserving Data Mining (PPDM). It is used to efficiently protect individual privacy in data sharing. Thus, the various models have been designed for privacy preserving data sharing. In this paper, various privacy preserving approaches in data sharing and their merits and demerits are analyzed.
Keywords
data mining; data privacy; PPDM; algorithmic techniques; data security; data sharing; privacy preserving data mining; privacy protection; Biological system modeling; Computational modeling; Data models; Data privacy; Privacy; Protocols; Data sharing; Privacy Preserving; Privacy preserving approaches;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Communication and Embedded Systems (ICICES), 2014 International Conference on
Conference_Location
Chennai
Print_ISBN
978-1-4799-3835-3
Type
conf
DOI
10.1109/ICICES.2014.7033869
Filename
7033869
Link To Document