UGC Approved Journal no 63975(19)

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

Volume 8 Issue 5
May-2021
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2105183


Registration ID:
308453

Page Number

b412-b417

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Title

Implementing Smarteye - Fishy URL Detection Using URL Features and CNN

Abstract

Phishing attacks are very common but are the least defended security menaces today. An approach is proposed which makes use of Natural Language Processing techniques to detect statements which are indication of phishing attacks. NLP offers a natural solution for this problem as it is capable of analyzing the textual content to perform intelligent recognition and performing semantic analysis of text to detect malicious intent. In this type of cyber-attack, the attacker sends malicious links or attachments through phishing e-mails that can perform various functions, including capturing the login credentials or account information of the victim. The standard way to specify page layouts is through the style sheet (CSS), the developed algorithm detects similarities in key elements related to CSS. Phishing detection includes approach that uses profiles of trusted websites’ appearances to detect phishing.

Key Words

Mobile phones; phishing attack; security; anti-phishing

Cite This Article

"Implementing Smarteye - Fishy URL Detection Using URL Features and CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no. b412-b417, May-2021, Available :http://www.jetir.org/papers/JETIR2105183.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

"Implementing Smarteye - Fishy URL Detection Using URL Features and CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. pp b412-b417, May-2021, Available at : http://www.jetir.org/papers/JETIR2105183.pdf

Publication Details

Published Paper ID: JETIR2105183
Registration ID: 308453
Published In: Volume 8 | Issue 5 | Year May-2021
DOI (Digital Object Identifier):
Page No: b412-b417
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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