A Review on Security Techniques for Privacy-Preserving in Data Mining

Authors

  • K. S Chandwani  Professor, Department of Computer Technology, KDK College of Engineering, Nagpur, Maharashtra, India
  • Anjali Mishra  CSE, SMT. Rajshri Mulak College of Engineering for Women, Nagpur, Maharashtra, India
  • Ayushi Desai  CSE, SMT. Rajshri Mulak College of Engineering for Women, Nagpur, Maharashtra, India
  • Priyanka Kushwaha  CSE, SMT. Rajshri Mulak College of Engineering for Women, Nagpur, Maharashtra, India
  • Sonal Nikose  CSE, SMT. Rajshri Mulak College of Engineering for Women, Nagpur, Maharashtra, India
  • Shivani Wanjari  CSE, SMT. Rajshri Mulak College of Engineering for Women, Nagpur, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT195519

Keywords:

Access Control, Confidentiality, Integrity, Outsourced Databases, Query Authentication, Security mechanisms

Abstract

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.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-10-30

Issue

Volume 5, Issue 5, September-October-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
K. S Chandwani, Anjali Mishra, Ayushi Desai, Priyanka Kushwaha, Sonal Nikose, Shivani Wanjari, " A Review on Security Techniques for Privacy-Preserving in Data Mining, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 5, pp.118-122, September-October-2019. Available at doi : https://doi.org/10.32628/CSEIT195519