A Study on Spam Email Identification Using Machine Learning: A Matlab Based Approach

Authors

  • Mr. Sugan Patel, Talha Abdullah, Hamza Abdullah

Abstract

In the contemporary digital landscape, email remains an indispensable tool for communication;however, the proliferation of unsolicited spam emails has emerged as a formidable threat todigital privacy, security, and the integrity of communication infrastructures. This studyproposes an advanced machine learning-based model

References

Almeida, t. A., hidalgo, j. M. G., & yamakami, a. (2011). Contributions to the study of sms spam filtering: new collection and results. Proceedings of the 11th acm symposium on document engineering, 259–262. Https://doi.org/10.1145/2034691.2034742

Cormack, g. V. (2007). Email spam filtering: a systematic review. Foundations and trends® in information retrieval, 1(4), 335–455. Https://doi.org/10.1561/1500000006

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Published

2024-12-20

How to Cite

Mr. Sugan Patel, Talha Abdullah, Hamza Abdullah. (2024). A Study on Spam Email Identification Using Machine Learning: A Matlab Based Approach . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 3903–3923. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2647

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Articles