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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 13, ISSUE 9, SEPTEMBER 2024

Email Spam Detection Using Machine Learning

Disha Gangamma A P, Shankar B S

DOI: 10.17148/IJARCCE.2024.13912

Abstract: Email spam detection has been a longstanding challenge in the field of cybersecurity, as the volume and sophistication of spam messages continue to grow exponentially. This research paper examines the application of machine learning techniques to address this problem effectively. The paper provides a comparative analysis of various machine learning approaches, including their strengths, limitations, and evaluation metrics. The study also explores the current maturity and limitations of machine learning in cyber security, addressing the concerns of security specialists. (Apruzzese et al., 2018).

How to Cite:

[1] Disha Gangamma A P, Shankar B S, “Email Spam Detection Using Machine Learning,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2024.13912