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
Shah Afreen B.Aziz
, Madhuri Kalidas Wavhal , Yogita Ramdas Garje , Jasmine Yusuf Mulla
Unique Id:
IJSDR1901003
Published In:
Volume 4 Issue 1, January-2019
Abstract:
Data sets are available for almost all application domains. But cannot be made public due to the sensitivity of data. Due to the emergence of Big Data technology, it has become very important to provide large datasets, provided that the privacy of the data is preserved. Privacy preserving is the methodology of allowing the datasets to be used by various data mining algorithms, maintaining the confidentiality of the sensitive data. This paper will give a brief idea about what is Privacy Preserving Data Publishing(PPDP), an overview of various privacy models and focus mainly upon anonymization techniques. Various attacks that can occur on data and solution to those attacks are also covered in brief.
Keywords:
Privacy,Annonymization,Big Data,PPDP,Attacks
Cite Article:
"Survey on PPDP using Anonymization", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 1, page no.8 - 11, January-2019, Available :http://www.ijsdr.org/papers/IJSDR1901003.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR1901003
Registration ID:180926
Published In: Volume 4 Issue 1, January-2019
DOI (Digital Object Identifier):
Page No: 8 - 11
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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