Security in Data Mining- A Comprehensive Survey

Security in Data Mining- A Comprehensive Survey

Niranjan A

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Nitish A

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P Deepa Shenoy

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Venugopal K R

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Bangalore University

Security in Data Mining- A Comprehensive Survey

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CSTSDEL8O88

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Connecting with the Eternal Ground

Abstract

Data mining techniques, while allowing the individuals to extract hidden knowledge on one hand, introduce a number of privacy threats on the other hand. In this paper, we study some of these issues along with a detailed discussion on the applications of various data mining techniques for providing security. An efficient classification technique when used properly, would allow an user to differentiate between a phishing website and a normal website, to classify the users as normal users and criminals based on their activities on Social networks (Crime Profiling) and to prevent users from executing malicious codes by labelling them as malicious. The most important applications of Data mining is the detection of intrusions, where different Data mining techniques can be applied to effectively detect an intrusion and report in real time so that necessary actions are taken to thwart the attempts of the intruder.

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No external funding was declared for this work.

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The authors declare no conflict of interest.

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How to Cite This Article

Niranjan A. 2017. \u201cSecurity in Data Mining- A Comprehensive Survey\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 16 (GJCST Volume 16 Issue C5): .

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GJCST Volume 16 Issue C5
Pg. 51- 72

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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Submission ReceivedDecember 8, 2015
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Accepted January 3, 2016
Published January 15, 2016

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Total Score: 104

Country: India

Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering

Authors: Niranjan A, Nitish A, P Deepa Shenoy, Venugopal K R (PhD/Dr. count: 0)

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