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Using Attribute-based Feature Selection Approaches and Machine Learning Algorithms for Detecting Fraudulent Website URLs

Aydin, Mustafa (author)
Orta Doğu Teknik Üniversitesi,Middle East Technical University (METU)
Butun, Ismail, 1981 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Bicakci, Kemal (author)
TOBB University of Economics and Technology
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Baykal, Nazife (author)
Orta Doğu Teknik Üniversitesi,Middle East Technical University (METU)
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 (creator_code:org_t)
2020
2020
English.
In: 2020 10th Annual Computing and Communication Workshop and Conference, CCWC 2020. ; , s. 774-779
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Phishing is a malicious form of online theft and needs to be prevented in order to increase the overall trust of the public on the Internet. In this study, for that purpose, the authors present their findings on the methods of detecting phishing websites. Data mining algorithms along with classifier algorithms are used in order to achieve a satisfactory result. In terms of classifiers, the Naïve Bayes, SMO, and J48 algorithms are used. As for the feature selection algorithm; Gain Ratio Attribute and ReliefF Attribute are selected. The results are provided in a comparative way. Accordingly; SMO and J48 algorithms provided satisfactory results in the detection of phishing websites, however, Naïve Bayes performed poor and is the least recommended method among all.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Annan data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Other Computer and Information Science (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Data analysis
Cyber theft
Machine learning algorithms
Fraudulent website detection
Attribute-based feature selection

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Aydin, Mustafa
Butun, Ismail, 1 ...
Bicakci, Kemal
Baykal, Nazife
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NATURAL SCIENCES
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and Computer and Inf ...
and Other Computer a ...
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Electrical Engin ...
and Signal Processin ...
NATURAL SCIENCES
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and Computer and Inf ...
and Computer Science ...
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