Fortifying Email Security: A Machine Learning Approach

In today's communication landscape, emails are essential for both personal and business interactions, serving as a common method to transmit sensitive information, including financial data, credit reports, and login credentials .However, the time delay between sending and receiving emails provides an opportunity for cybercriminals to exploit vulnerabilities and compromise data integrity. Phishing, a frequently used malicious technique, involves impersonating reputable entities to acquire confidential information from unsuspecting individuals. To counter the growing phishing threat, this project focuses on utilizing machine learning (ML) algorithms. Through dataset segmentation, model training, and validation, this project demonstrates the effectiveness of our approach. Our systematic comparison of different datasets and features reveals that incorporating more features enhances accuracy and efficiency, strengthening our efforts to combat the widespread threat of phishing attacks.