Security in Data Mining- A Comprehensive Survey

Security in Data Mining- A Comprehensive Survey

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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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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Niranjan A, Nitish A, P Deepa Shenoy, Venugopal K R. 2017. "Security in Data Mining- A Comprehensive Survey". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 16 (GJCST Volume 16 Issue C5).

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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H.2.8
  • Submission ReceivedDecember 8, 2015
  • Peer Review Double Blind
    Handling Editor
  • Accepted January 3, 2016
  • Published January 15, 2016
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January 27, 2017

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Security in Data Mining- A Comprehensive Survey

Niranjan A
Niranjan A UVCE
Nitish A
Nitish A
P Shenoy
P Shenoy
  • Submission ReceivedDecember 8, 2015
  • Peer Review Double Blind
    Handling Editor
  • Accepted January 3, 2016
  • Published January 15, 2016