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Email phishing constitutes a cyber-attack aiming to illicitly acquire sensitive data by masquerading as authentic sources. This paper outlines a machine learning-driven strategy for identifying email phishing attacks. The suggested approach encompasses extracting features from language processing and supervised learning algorithms, the system categorizes incoming emails as legitimate or phishing endeavors. The outcomes indicate that the proposed methodology attains remarkable accuracy, surpassing existing methods, thus offering a valuable tool for organizations and individuals seeking to enhance their email security.

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Bringing Together Machine Learning Techniques for Effective Phishing Email Detection

  • 章节

  • 发表日期：

    2025年

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  • Prachi Sharma,
  • Sajjad Ahmed,
  • Hemraj Shobharam Lamkuche,
  • Mutaz Rasmi Abu Sara,
  • Ala’a Al Sherideh

摘要

Email phishing constitutes a cyber-attack aiming to illicitly acquire sensitive data by masquerading as authentic sources. This paper outlines a machine learning-driven strategy for identifying email phishing attacks. The suggested approach encompasses extracting features from language processing and supervised learning algorithms, the system categorizes incoming emails as legitimate or phishing endeavors. The outcomes indicate that the proposed methodology attains remarkable accuracy, surpassing existing methods, thus offering a valuable tool for organizations and individuals seeking to enhance their email security.