International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,April 2017,

Topic : Improved Method Text Feature Extraction for Detection of Phishing Website

Authors:Ganesh S.Gangthade || Shyam R. Gote, Sachin P. Khengte

Abstract:Phishing is a technique of gaining personal information of users from various web-sites. Sometimes it redirects the user to phish webpage to gain information of user like username, password, account and credit card details etc. Our main ambition here is to design system to provide safeguard to users against phishing attacks. Our work is mainly focuses on use of terms and URLs from web page to detect possible phishing patterns from web pages of phishing websites. Process initiates with pars-ing of web page to extract plain text terms and URLs. Further detected terms are fed to TF-IDF and URL weighting system to identify importance of each detected term. Later search engine lookup is carried out for most important terms which help to detect possible victim URLs for given input website. Finally WHOIS lookup is used to compare registration details of websites to correctly categorize website as phishing or legitimate one.

Keywords: Illegitimate, K-means, Naïve Bayes Algorithm, , Phishing detection

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DOI: 01.1617/vol4/iss4/pid39127


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799


ACCEPTANCE RATIO

ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Contact : info@ijercse.com


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