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).
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DOI:
10.17148/IJARCCE.2024.13912
