UGC Approved Journal no 63975(19)

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

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

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

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Unique Identifier

Published Paper ID:
JETIR1907A24


Registration ID:
221100

Page Number

1-11

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Title

Phishing Websites Detection Using Python And R

Abstract

Phishing is a challenging, well known security attack. Phishing attacks are used to attain sensitive data of a customer like username, passwords, personal identification numbers PINs number etc. In a phishing attack the target user is tricked into entering his/her sensitive credentials in some fake website created by the attacker. For example, let’s assume that an attacker is interested in attaining the target user’s Facebook username and password. Then the attacker creates a fake Facebook login page that is an exact replica of the original site. The target user is tricked into visiting the fake Facebook page and entering his/her credential information. Once the target user has entered his/her credentials and hits the submit button the attacker has access to the target users information. The target user can be directed to the fake website in many ways. One of the ways includes sending the target user an email, the contents of which are written in such a way that it look like a legitimate email, so that the spam filter does not classify the email as spam. The content of the email is written with an intention to hook the target’s interest. Once the user’s interest is piqued he/she is bound to open the link of the fake website, therefore falling into attackers trap.

Key Words

Phishing, Web Security, Facebook Phishing.

Cite This Article

"Phishing Websites Detection Using Python And R", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.1-11, June 2019, Available :http://www.jetir.org/papers/JETIR1907A24.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

"Phishing Websites Detection Using Python And R", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp1-11, June 2019, Available at : http://www.jetir.org/papers/JETIR1907A24.pdf

Publication Details

Published Paper ID: JETIR1907A24
Registration ID: 221100
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.22159
Page No: 1-11
Country: Bangalore, Karnataka, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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