Next Generation Phishing Detection and Prevention System using Machine Learning

Abstract

Phishing is one of the topmost social engineering attacks in which an attacker sends a luring email via fake email address, email content through which either they try to compromise the end-user account by stealing their account credentials simply like username and password or even more complex way is to compromise the user’s device by binding the malicious payload that could be virus, trojans, spyware and lot more within the email sent by the attacker to the victim. According to the APWG, phishing activity trends report found that the December 2021 stats shows that the number of phishing attacks was triple compared to the attacks in early 2020, this shows still phishing is still in the leading position in all of the cybercrimes happened or happening in today’s world. The phishing problem is still a major problem across the globe which affects society, work culture, and economic growth in industries as well, thus there is not any single solution with which one person or industry can fight the phishing attack. The objective of this research paper is to make a simple yet effective one-stop solution for phishing detection and prevention system using machine learning and making an intelligent web browser plugin and to study different machine learning models and approaches with which we can come up with an efficient product.