AI-Driven Phishing Detection Systems: Protecting Users Against Sophisticated Social Engineering Attacks

Authors

  • Dr. Love Kumar Author

Abstract

Phishing remains a prevalent form of cyberattack, posing significant risks to individuals and organizations. This study investigates an AI-based approach to detect phishing attempts in real time by analyzing email content, URLs, and sender behaviors. Using natural language processing and deep learning, our model classifies phishing emails with high accuracy, identifying subtle patterns often missed by traditional filters. Through extensive testing on recent phishing datasets, our results demonstrate that AI-driven systems can significantly reduce phishing attack success rates, thereby enhancing user security and trust in digital communication.

 

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Published

2022-08-17

Issue

Section

Articles

How to Cite

AI-Driven Phishing Detection Systems: Protecting Users Against Sophisticated Social Engineering Attacks. (2022). International Journal of Holistic Management Perspectives, 3(3). https://injmr.com/index.php/IJHMP/article/view/133

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