Detecting phishing websites using support vector machine algorithm
Doğukan Aksu, Abdullah Abdulwakil, M. Ali Aydin · Pressacademia · 2017
Cybersecurity is one of the most important areas which aims to protect computers or computer systems, networks, programs and data from an attack such as; financial systems, biometric security systems, military systems, personal information security etc. Nowadays, there are a lot of rule-based phishing detection systems which are created to help people who can't understand which URL is real and which one is fake URL address.This paper proposes a method with supervised machine learning that classifies the URLs to legitimate and phishing.By using support vector machine (SVM) classification, a machine-learning algorithm, with an MATLAB-based computer program to give a warning message to the users about the reliability of the web page.In this paper, phishing detection system is implemented with SVM to avoid the internet users from becoming a victim of phishers to do not lose financial and personal information.