Phishing Sites Detection Based on C4.5 Decision Tree Algorithm

The rapid increase in usage of the Internet and web services has led to a drastic increase in number of web attacks. Phishing is a web attack where the phis hers try to acquire user's sensitive information for fraudulent purposes. Phishers target user's sensitive information through a fake...

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Bibliographic Details
Published in2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA) pp. 1 - 5
Main Authors Machado, Lisa, Gadge, Jayant
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2017
Subjects
Classification algorithms
Decision tree
Decision trees
Feature extraction
IP networks
Phishing
Phishing sites
Protocols
Uniform resource locators
URL-based features
Online AccessGet full text
DOI10.1109/ICCUBEA.2017.8463818

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Summary:The rapid increase in usage of the Internet and web services has led to a drastic increase in number of web attacks. Phishing is a web attack where the phis hers try to acquire user's sensitive information for fraudulent purposes. Phishers target user's sensitive information through a fake website that appears similar to a legitimate site in terms of interface and uniform resource locator (URL) address. Hence, there is an increase in victims falling prey to the phishing sites. This paper proposes an efficient way for detection of the phishing websites using C4.S decision tree approach and features of URL. The method proposed in this paper uses various URL features and also uses C4.S decision tree approach for better results.
DOI:10.1109/ICCUBEA.2017.8463818