Web Phishing Detection Using Web Crawling, Cloud Infrastructure and Deep Learning Framework
Lozan Mohammed Abdulrahman, Sarkar Hasan Ahmed, Zryan Najat Rashid, Yousif Sufyan Jghef, Teba Mohammed Ghazi, Umed H. Jader · Journal of Applied Science and Technology Trends · 2023
The pandemic of COVID-19 obliges citizens to follow the “work from home “scheme. The Internet is also a powerful channel for social connections. The huge dependency of people on digital media opens doors to fraud. Phishing is a form of cybercrime that is used to rob users of passwords from online banking, e-commerce, online schools, digital markets, and others. Phishers create bogus websites like the original and deliver users spam mails. When an online user visits fake web pages via spam, phishers steal their credentials. As a result, it is important to identify these forms of fraudulent websites until they do any harm to victims. Inspired by the ever-changing existence of phishing websites. This paper reviews the work on Phishing attack detection and aims to examine techniques that mainly detect and help in preventing phishing attacks rather than mitigating them. Here we offered a general overview of the most effective phishing attack detection strategies focused on deep learning.