- Wednesday, Oct 29th, 2025
International Journal of Advanced Research in Arts, Science, Engineering & Management (IJARASEM)
(A High Impact Factor, Monthly, Peer Reviewed Journal)
(A High Impact Factor, Monthly, Peer Reviewed Journal)
| TITLE | Intelligent Spam Filtering and Detection System using Multinomial Naive Bayes |
|---|---|
| ABSTRACT | Email spam detection remains a significant challenge in the field of Cybersecurity and information retrieval. Spam emails not only waste users’ time but also pose serious security threats such as phishing attacks, malware distribution, and identity theft. This paper presents a detailed study on spam email classification using the Multinomial Naive Bayes (MNB) algorithm, a probabilistic machine learning method well-suited for text classification tasks. We utilize a publicly available dataset containing labelled ham and spam emails, preprocess the data by cleaning and encoding, and extract features using the Bag-of-Words model via Count Vectorizer. The MNB classifier is trained on 80% of the data and tested on the remaining 20%. Our model achieves an accuracy of approximately 98%, with high precision and recall scores, demonstrating its effectiveness in distinguishing spam from legitimate emails. We further analyse the most frequent words in spam emails and visualize them using word clouds to gain insights into common spam characteristics. The evaluation includes confusion matrix analysis and ROC curve plotting, with an AUC score of 0.99 indicating excellent discriminative ability. The results confirm that the Multinomial Naive Bayes classifier is a computationally efficient and reliable method for spam detection. Future work will explore the integration of advanced natural language processing techniques and deep learning models to further improve detection accuracy and adapt to evolving spam tactics |
| AUTHOR | A.Nandhini, Aisha. S Assistant professor-SG, Department of Computer Applications, Nehru College of Management, Coimbatore, Tamil Nadu, India Student of II MCA, Department of Computer Applications, Nehru College of Management, Coimbatore, Tamil Nadu, India |
| PUBLICATION DATE | 2025-10-27 |
| VOLUME | 12 |
| ISSUE | 5 |
| 20_Intelligent Spam Filtering and Detection System using Multinomial Naive Bayes.pdf | |
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