AI Techniques for Spam Email Detection.

Author(s)	Mr. Ajay ., Mr. Hitesh Sharma, Mr. Surendra Kumar, Ms. Kalpana Jaswal
Country	India
Abstract	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.
Keywords	Machine Learning, Spam Detection, AI, Natural Language Processing, Decision Tree, Bio-Inspired Methods
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-05-29
DOI	https://doi.org/10.36948/ijfmr.2025.v07i03.46377
Short DOI	https://doi.org/g9mn62

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International Journal For Multidisciplinary Research