Phishing Attacks in the Age of Artificial Intelligence: A Systematic Survey

Authors

  • Amara Nazir Department of Artificial Intelligence, University of Management & Technology, Lahore, 54000, Pakistan Author
  • Irshad Ahmed Sumra Department of Informatics and Systems, University of Management & Technology, Lahore, 54000, Pakistan. Author
  • Fahad Ali School of Systems and Technology, University of Management & Technology, Lahore, 54000, Pakistan. Author

DOI:

https://doi.org/10.57041/gnjszy74

Keywords:

Adversarial Attacks, Artificial Intelligence, Cybersecurity, Deep Learning, Machine Learning, Phishing Detection

Abstract

One of the most dangerous frauds from today's techno-psychological era is phishing that plays on the vulnerabilities of technology and human psychology through email, SMS, telephone or social media and other new channels. Phishing attacks have evolved significantly with the advent of Artificial Intelligence, changing their nature, scope, and stealthiness, and continuing the arms race with defenders. The results reveal a number of points that need to be addressed, such as the growing prevalence of detections, the continued vulnerabilities within the ML systems and the necessity for multi-layered defense mechanisms that combine automated AI answers with controlled, human monitoring. Critical gaps include explainable AI, non-email vector coverage, and adversarial robustness benchmarks.

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Published

2025-12-30

How to Cite

Phishing Attacks in the Age of Artificial Intelligence: A Systematic Survey. (2025). International Journal of Emerging Engineering and Technology, 4(2), 61-70. https://doi.org/10.57041/gnjszy74

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