Authors - Selvamani K, Saranraj S, Muthusundar SK, Kanimozhi S, Mohana Suganthi N Abstract - The phishing attack through email remains a significant threat to cybersecurity because the attack has become highly advanced, flexible, and widely spread among individuals and organizations. The phishing tricks, such as personalized social engineering, impersonated identities, and malicious links, have evolved fast and made the traditional email security measures less useful. As such, numerous schemes of email phishing attack detection and prevention have been suggested, combining rule-based approaches with machine learning, deep learning, natural language processing, and sophisticated artificial intelligence systems. This review paper provides a detailed discussion of the currently existing email phishing detection and prevention frameworks, their architectural elements, detection schemes, and preventive schemes. The paper systematically evaluates the conventional, machine learning, and more advanced AI-driven methods with their advantages, weaknesses, and flexibility to the changing phishing threats. The synthesis of existing research trends and unaddressed issues makes the review valuable to researchers and cybersecurity practitioners and will allow building solid, scalable, and intelligent email phishing defense systems.
Open Zoom