UGC Approved Journal no 63975(19)

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

Volume 7 Issue 12
December-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2012093


Registration ID:
303956

Page Number

731-735

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Title

An Implementation of Fraudulent URL Detection with Advanced Feature and ML Technique

Abstract

“Phishing is a fraudulent attempt, usually made through email, to steal your personal information”. Phishing is becoming more malicious day by day and its detection is very important. It is one of the social engineering methods that gathers personal information through websites such as malicious websites and deceptive e-mail to canvass personal information from a company or an individual by prance as a trustworthy entity or organization. Phishing often attacks email by using as a vehicle and even sending messages by email to users that represent a part of a company or an institution who perform business such as financial institution, banking etc. We reviewed various data mining algorithms for evaluation of the features in order to get a better understanding of the structure of URLs that spread phishing. The fine-tuned parameters are useful in selecting the appropriate machine learning algorithm for separating the Phishing sites from benign sites.

Key Words

Mobile phones; phishing attack; security; anti-phishing

Cite This Article

"An Implementation of Fraudulent URL Detection with Advanced Feature and ML Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 12, page no.731-735, December-2020, Available :http://www.jetir.org/papers/JETIR2012093.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

"An Implementation of Fraudulent URL Detection with Advanced Feature and ML Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 12, page no. pp731-735, December-2020, Available at : http://www.jetir.org/papers/JETIR2012093.pdf

Publication Details

Published Paper ID: JETIR2012093
Registration ID: 303956
Published In: Volume 7 | Issue 12 | Year December-2020
DOI (Digital Object Identifier):
Page No: 731-735
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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