UGC Approved Journal no 63975(19)

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

Volume 9 Issue 7
July-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2207489


Registration ID:
500235

Page Number

e692-e694

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Title

The Detection of Web Phishing Using Deep Learning

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Abstract

Phishing is the technique of displaying malicious online pages in lieu of legitimate web sites in order to gain confidential material from the end-user. Phishing is now regarded as among the most severe dangers to web security. In this study, we used CNN to find fraudulent websites by looking at their URLs and screenshots. Deep learning models like CNN are quite popular, especially data with many dimensions like clips and pictures. It can be used to pull out the traits that are unique to the area of an image, and it makes use of these functions to tell one image from another

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"The Detection of Web Phishing Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.e692-e694, July-2022, Available :http://www.jetir.org/papers/JETIR2207489.pdf

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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

"The Detection of Web Phishing Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppe692-e694, July-2022, Available at : http://www.jetir.org/papers/JETIR2207489.pdf

Publication Details

Published Paper ID: JETIR2207489
Registration ID: 500235
Published In: Volume 9 | Issue 7 | Year July-2022
DOI (Digital Object Identifier):
Page No: e692-e694
Country: string:Hyderabad, Telangana, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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