Efficient Email phishing detection using Machine learning

Emails are frequently utilized as a way of personal and professional communication. Banking information, credit reports, login data, and other sensitive and personal information are frequently transmitted over email. This makes them valuable to cyber criminals, who can exploit the knowledge for their own gain. Phishing is a technique used by con artists to steal sensitive information from people by impersonating well-known sources. The sender of a phished email can persuade you to disclose personal information under false pretenses. The detection of a phished email is treated as a classification problem in this research, and this paper shows how machine learning methods are used to categorize emails as phished or not. LMT classifiers attain a maximum accuracy in email classification.