Phishing Detection with Browser Extension Based on Machine Learning
Cheyu Wu, Cheng-Chung Kuo, Chu‐Sing Yang · 2023
Social engineering has become an emergent field with the growth of network attacks. Phishing, is a popular social engineering attack types, has also become an important research topic in the network security field. In this study, we implemented a browser extension for detecting phishing websites based on a machine learning mechanism. The proposed front-end browser extension can detect phishing websites in real time and hence, prevent users from inputting their personal information to these sites. The experimental results show that the proposed detection mechanism can reach a high accuracy up to 97.5% within 4.5 s with 150 users on average.