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  Published Paper Details:

  Paper Title

DETECTION OF PHISHING WEBSITES USING DATA MINING

  Authors

  Aniket Kote,  Sanket Kharche,  Pravin Aware,  Abhishek Pangavhane

  Keywords

Phishing, Data Mining, Web Security, Chrome Extension, Random Forest Classifier.

  Abstract


Recently many Cyber attacks have increased because of growing use of internet. Among all this the well-known cyber threat we find increasing day by day is phishing attacks. Phishing is where the victim�s credentials are obtained by an illegitimate website. The aim of these phishing websites is to acquire confidential information about username, password and banking credentials of the victim. Phishing websites look similar to the illegitimate website so the user can�t differentiate among them. This paper proposes a system which will detect old as well as newly generated phishing URLs that have completely no past behaviors to judge upon, using Data Mining. The main objective of this system is to develop a Chrome browser plugin that detects phishing sites in real-time while the user browses the page. The model will be trained with exhaustive dataset so that we can assure maximum accuracy.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2005101

  Paper ID - 194369

  Page Number(s) - 737-739

  Pubished in - Volume 8 | Issue 5 | May 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Aniket Kote,  Sanket Kharche,  Pravin Aware,  Abhishek Pangavhane,   "DETECTION OF PHISHING WEBSITES USING DATA MINING ", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 5, pp.737-739, May 2020, Available at :http://www.ijcrt.org/papers/IJCRT2005101.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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