1 publication

• Published Subscription Review Article 12 Dec 2025

  A Survey On Leveraging Machine Learning for Phishing Attack Prediction and Detection

  By D Diana Julie, K DineshKanna, P Thirumal, MP Victor Moses

  Abstract: Phishing is one of the biggest cybersecurity threats that exploits user trust by masquerading as a legitimate site or email to steal personal and sensitive information. A state- of-the-art-phishing detection systems survey, this review showcases the evolution from traditional list-based techniques, including blacklisting and whitelisting to machine learning and deep learning models. While list-based systems cannot evolve to detect new and zero-day attacks, the ML algorithms of Decision Tree, Random …

  Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article →