INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Survey on Anonymization of Privacy Preserving in Data Publishing
Authors Name:
Anushree Raj
, Rio G. L. D'Souza
Unique Id:
IJSDR1811038
Published In:
Volume 3 Issue 11, November-2018
Abstract:
Privacy-preserving data mining has numerous applications which are naturally supposed to be “privacy-violating” applications. The key is to design methods which continue to be effective, without compromising security. Data mining is the process of analyzing data. Data Privacy is collection of data and distribution of data. Privacy issues arise in different area such as health care, intellectual property, biological data, financial transaction etc. Protection of data is a very challenging task while data transfer. Sensitive information needs protection. There are two kinds of major attacks against privacy namely record linkage and attribute linkage attacks. Research have proposed some methods namely k-anonymity, ℓ-diversity, t-closeness for data privacy. k-anonymity method preserves the privacy against record linkage attack alone.
"Survey on Anonymization of Privacy Preserving in Data Publishing", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 11, page no.219 - 224, November-2018, Available :http://www.ijsdr.org/papers/IJSDR1811038.pdf
Downloads:
000337214
Publication Details:
Published Paper ID: IJSDR1811038
Registration ID:180780
Published In: Volume 3 Issue 11, November-2018
DOI (Digital Object Identifier):
Page No: 219 - 224
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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