IPDM: an Intelligent Phishing Detection Model for E-Commerce Websites

Nowadays, with the exponential growth of digital connectivity and online services, phishing has emerged as one of the most familiar Cyber threats, targeting individuals and organizations alike. Phishing attacks aim to deceive users into revealing sensitive information such as usernames, passwords, and financial credentials by mimicking legitimate websites. To help mitigate these risks, there is an urgent need for intelligent systems capable of detecting and preventing phishing attacks in real-time. In this framework, various classification machine learning techniques are used, such as, Artificial neural network (ANN) achieved an accuracy of 98.90