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 :
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