A novel approach for phishing emails real time classifica-tion using k-means algorithm

  • Abstract
  • Keywords
  • References
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  • Abstract

    The dangers phishing becomes considerably bigger problem in online networking, for example, Facebook, twitter and Google+. The phishing is normally completed by email mocking or texting and it frequently guides client to enter points of interest at a phony sites whose look and feel are practically indistinguishable to the honest to goodness. Non-technical user resists learning of anti-phishing technic. Also not permanently remember phishing learning. Software solutions such as authentication and security warnings are still depending on end user action.

    In this paper we are mainly focus on a novel approach of real time phishing email classification using K-means algorithm. For this we uses 160 emails of last year computer engineering students. we get True positive of legitimate and phishing as 67% and 80% and true negative is 30 % and 20%.,which is very high so we ask same users reasons which I mainly categories into three categories ,look and feel of email, email technical parameters, and email structure.

  • Keywords

    Email and Websites Phishing; Phishing Detection Techniques; User Awareness on Email Phishing.

  • References

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Article ID: 9018
DOI: 10.14419/ijet.v7i1.2.9018

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