A New Method for Detection of Phishing Websites: URL Detection

Abstract

Phishing is an unlawful activity wherein people are misled into the wrong sites by using various fraudulent methods. The aim of these phishing websites is to confiscate personal information or other financial details for personal benefits or misuse. As technology advances, the phishing approaches used need to get progressed and there is a dire need for better security and better mechanisms to prevent as well as detect these phishing approaches. The primary focus of this paper is to put forth a model as a solution to detect phishing websites by using the URL detection method using Random Forest algorithm. There are 3 major phases such as Parsing, Heuristic Classification of data, Performance Analysis in this model and each phase makes use of a different technique or algorithm for processing of data to give better results.