AI Techniques for Spam Email Detection.

Spam emails pose a significant challenge to internet users, leading to economic losses and security threats. This study introduces a hybrid spam detection approach combining Particle Swarm Optimization (PSO) for feature selection with machine learning models such as Support Vector Machines (SVM), Naïve Bayes, and Decision Trees. As spam tactics evolve, AI-driven techniques provide robust solutions for filtering malicious content. By leveraging advanced feature extraction methods, this research aims to enhance spam classification accuracy and mitigate cybersecurity risks.