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Confidentiality in Big Data using PPDM


Author(s):

Bincy K Sunny , Mount Zion College Of Engineering, Kadammanitta, Pathanamthitta, Kerala; Smita C Thomas, Vels University, Chennai

Keywords:

Data mining, privacy preserving data mining, anonymization, provenance

Abstract:

A new research privacy preserving data mining develop due to the recent advanced in data mining, security technologies. The basic concept of PPDM is to correct the data in such a way so as to perform data mining algorithms definitely without mean the security of sensitive information contained in the data. PPDM mainly target on how to decrease the privacy danger brought by data mining operations, while in fact, undesirable acknowledgement of sensitive information may also appear in the process of data gathering, data announcing and information distributing. This paper deals with the privacy issues related to data mining from a view point and examine various approaches that can help to protect sensitive information. In particular, identify four different types of users involved in data mining applications. For each type of user, consider the privacy concerns and the methods that can be accepted to preserve sensitive information.


Other Details:

Manuscript Id :IJSTEV2I5045
Published in :Volume : 2, Issue : 5
Publication Date: 01/12/2015
Page(s): 112-116
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