Email Spam Detection Using Machine Learning

C. Venkata Swamy, Nagineni Sreehari, Shaik Moulali, Mulla Mohammed Saleem, Shaik Showkath Ali, S. Nasir Hussain

2025

Abstract

Although email is an integral element of daily communication, increasing amounts of spam email not only serves as a potential threat to security but also harms efficiency. Traditional spam filters can’t keep pace with new spamming techniques, making them ineffective over time. Instead of relying on fixed heuristics, machine learning provides a more adaptive solution to spam detection. We use linear classifiers, such as Naïve Bayes and Support Vector Machines (SVM), demographic models like Decision Trees and deep-learning models to achieve better spam detection accuracy in this work. We can apply various natural language processing (NLP) methods like also Tokenization, stop word removal, TF-IDF and word embedding, to improve the model’s understanding capacity of the email content. We demonstrate through experimentation, that the performance of machine learning based spam filters reduces false positives and achieves higher classification accuracy. Since these models learn from data again, they can quickly adapt to the evolving spam techniques and therefore, are a reliable solution in modern email security. Further developments can supplement real-time learning, hybrid models, and deep learning to significantly improve email spam detection systems.

Paper Citation

in Harvard Style

Swamy C., Sreehari N., Moulali S., Saleem M., Ali S. and Hussain S. (2025). Email Spam Detection Using Machine Learning. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 807-811. DOI: 10.5220/0013873400004919

in Bibtex Style

@conference{icrdicct`2525,
author={C. Swamy and Nagineni Sreehari and Shaik Moulali and Mulla Saleem and Shaik Ali and S. Hussain},
title={Email Spam Detection Using Machine Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={807-811},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013873400004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - Email Spam Detection Using Machine Learning
SN - 978-989-758-777-1
AU - Swamy C.
AU - Sreehari N.
AU - Moulali S.
AU - Saleem M.
AU - Ali S.
AU - Hussain S.
PY - 2025
SP - 807
EP - 811
DO - 10.5220/0013873400004919
PB - SciTePress