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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Phishing Detection Using Fuzzy Rough Set Technique
Authors Name: Archana K A , Kavitha Sooda
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IJRTI_187651
Published Paper Id: IJRTI2307143
Published In: Volume 8 Issue 7, July-2023
DOI:
Abstract: One of the most prevalent types of cybercrime is phishing, which involves tricking online users into giving over pretending to be a reliable website in order to obtain their private or confidential information.To identify phishing websites, several machine learning-based techniques have been suggested. These techniques utilise characteristics that were extracted from web page samples.But relatively few studies have given effective feature selection for phishing attack detection any serious consideration. In this study, researchers investigate the level of widespread agreement over the specific elements required for phishing detection. They choose the best features from three benchmarked data sets using the Fuzzy Rough Set (FRS) theory. The selected features are input into three popular classifiers for phishing detection. To evaluate the FRS feature selection in developing a descriptive phishing detection, the classifiers are trained using an independent out-of-sample data set made up of 14,000 website samples.
Keywords: Fuzzy Rough Set, Feature Selection, and Phishing Detection.
Cite Article: "Phishing Detection Using Fuzzy Rough Set Technique", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 7, page no.991 - 996, July-2023, Available :http://www.ijrti.org/papers/IJRTI2307143.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2307143
Registration ID:187651
Published In: Volume 8 Issue 7, July-2023
DOI (Digital Object Identifier):
Page No: 991 - 996
Country: Bangalore, Karnataka, India
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2307143
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2307143
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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