Improved Phishing Detection using Ensemble Models in Machine Learning
Sri Sai Phani Venkat Dasari, Dr. Nitalaksheswara Rao Kolukula · International Journal for Research in Applied Science and Engineering Technology · 2023
Abstract: A phishing attack is one of the simplest ways to obtain sensitive information from unaware, innocent users. The main motive of the phishers is to acquire critical information like usernames, passwords, and bank account details using a malicious link that looks genuine. Users with sound technical knowledge might be able to identify these links quickly, but this will cause harm to naive users, leading to a loss of privacy and assets. There are techniques to detect spam, such as content-based and the sender's reputation-based detection. This project aims to present an approach to detect phishing attacks based on the URL and by applying Machine Learning.