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A Review on Security Techniques for Privacy-Preserving in Data Mining
Author(s) -
K. S Chandwani,
Anjali Mishra,
Ayushi Desai,
Rohit Bhakar,
Sonal Nikose,
Shivani Wanjari
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit195519
Subject(s) - computer science , class (philosophy) , information privacy , server , data mining , computer security , information sensitivity , data security , data science , encryption , world wide web , artificial intelligence
As the rise in the data mining algorithm the extraction of knowledge from the large data is getting easy. But due to this new problem of Privacy of the knowledge from the stored data at various servers is introduced. So, it is required to provide privacy of the sensitive data from the data miners. This paper focuses on various approaches implemented by the miners for preserving of information at individual level, class level, etc. A detail description with limitation of different techniques security of privacy preserving is explained.

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