Performance Evaluation of K-Anonymized Data

J. Paranthaman

Performance Evaluation of K-Anonymized Data

J. Paranthaman * §

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§ University College of Engineering

Performance Evaluation of K-Anonymized Data

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Abstract

Data mining provides tools to convert a large amount of knowledge data which is user relevant. But this process could return individual’s sensitive information compromising their privacy rights. So, based on different approaches, many privacy protection mechanism incorporated data mining techniques were developed. A widely used micro data protection concept is k-anonymity, proposed to capture the protection of a micro data table regarding re-identification of respondents which the data refers to. In this paper, the effect of the anonymization due to k-anonymity on the data mining classifiers is investigated. Naïve Bayes classifier is used for evaluating the anonymized and non-anonymized data.

References

12 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

J. Paranthaman. 2013. "Performance Evaluation of K-Anonymized Data". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C8).

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GJCST Volume 13 Issue C8

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Data mining k-anonymity Naive Bayes privacy-preserving data mining

Classification

GJCST-C Classification D.2.m

Submission ReceivedDecember 14, 2012
Peer Review Double Blind
Handling Editor
Accepted January 4, 2013
Published January 15, 2013

Version of record

v1.2

Issue date

July 31, 2013

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: J.Paranthaman, Dr. T Aruldoss Albert Victoire (PhD/Dr. count: 1)

View Count (all-time): 400

Total Views (Real + Logic): 3599

Total Downloads (simulated): 294

Publish Date: 2013 01, Tue

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Total Views: 3.6K

Total Downloads: 294

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