An Enhanced Phishing Detection Tool Using Deep Learning From URL
Ammar Dawabsheh, Mahmoud Jazzar, Amna Eleyan, Tarek Bejaoui, Segun I. Popoola
Abstract
Cybersecurity and phishing attacks become critical and important for the global economy because there are many areas and businesses that rely mainly on computer and Internet systems. With the dramatic increase of phishing attacks, user awareness and support remain imperative at individual and organizational levels. In this paper, an enhanced intelligent phishing detection tool is developed using deep learning from URLs. The system scans webpages and uses deep learning techniques to identify potentially harmful phishing content. The software is also supported with a blacklist of websites and some APIs for the reduction of time consumption as possible using a large dataset to train and test the system. The system is found promising and can detect phishing attacks with high and accurate rates.