Using Attribute-based Feature Selection Approaches and Machine Learning Algorithms for Detecting Fraudulent Website URLs
Paper in proceedings, 2020
Attribute-based feature selection
Cyber theft
Fraudulent website detection
Machine learning algorithms
Data analysis
Author
Mustafa Aydin
Bankacilik Düzenleme ve Denetleme Kurumu
Ismail Butun
Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)
Kemal Bicakci
TOBB University of Economics and Technology
Nazife Baykal
Middle East Technical University (METU)
2020 10th Annual Computing and Communication Workshop and Conference, CCWC 2020
774-779 9031125
Las Vegas, USA,
Integrated cyber-physical solutions for intelligent distribution grid with high penetration of renewables (UNITED-GRID)
European Commission (EC), 2017-11-01 -- 2020-04-30.
Resilient Information and Control Systems (RICS)
Swedish Civil Contingencies Agency, 2015-09-01 -- 2020-08-31.
Subject Categories
Other Computer and Information Science
Signal Processing
Computer Science
DOI
10.1109/CCWC47524.2020.9031125