DocumentCode
3705332
Title
Feature extraction and classification phishing websites based on URL
Author
Mustafa Aydin;Nazife Baykal
Author_Institution
CyDeS, Cyber Defense and Security Laboratory of METU-COMODO, Informatics Institute, Middle East Technical University (METU), Ankara, Turkey
fYear
2015
Firstpage
769
Lastpage
770
Abstract
In this study we extracted websites´ URL features and analyzed subset based feature selection methods and classification algorithms for phishing websites detection.
Keywords
"Feature extraction","Classification algorithms","Uniform resource locators","Algorithm design and analysis","Prediction algorithms","Google","Data mining"
Publisher
ieee
Conference_Titel
Communications and Network Security (CNS), 2015 IEEE Conference on
Type
conf
DOI
10.1109/CNS.2015.7346927
Filename
7346927
Link To Document