UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2006537


Registration ID:
234731

Page Number

1410-1414

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Title

Webpage Classification for Detecting Phishing Attack

Abstract

Despite numerous research efforts, phishing attacks remain prevalent and highly effective in luring unsuspecting users to reveal sensitive information, including account credentials and social security numbers. In this paper, we propose the use of three machine algorithm to help in the detection of phishing attacks. Machine learning algorithm has been popular over the years for implementing and solving different problems. Different features were observed and approximately 112 features were used from the 88,648 datasets, gotten from the Vrbancic UC Machine Learning Repository database. Through the use of the algorithms, high accuracy was gotten especially after the application of PCA feature selection.

Key Words

principal component analysis, Machine Learning Framework

Cite This Article

"Webpage Classification for Detecting Phishing Attack", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.1410-1414, June 2020, Available :http://www.jetir.org/papers/JETIR2006537.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Webpage Classification for Detecting Phishing Attack", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp1410-1414, June 2020, Available at : http://www.jetir.org/papers/JETIR2006537.pdf

Publication Details

Published Paper ID: JETIR2006537
Registration ID: 234731
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier):
Page No: 1410-1414
Country: bangalore, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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