Development of Real-Time Phishing Detection in Email Systems for  Protecting Users and Enterprises through Deep Learning-Based  URL and Content Analysis Techniques

Aashay Gupta

Development of Real-Time Phishing Detection in Email Systems for Protecting Users and Enterprises through Deep Learning-Based URL and Content Analysis Techniques

Authors

Aashay Gupta

Keywords:

Deep Learning, Real-Time Detection, Phishing, Email Security, URL Analysis, Content Analysis, Cybersecurity, CNN, NLP.

Abstract

Phishing attacks via email remain one of the most pervasive cyber threats, causingsubstantial financial losses and data breaches for individuals and enterprises alike.This study aims to develop a real-time phishing detection system leveraging deep learning techniques for analyzing URLs

References

[1] Varun Kumar Tambi, Nishan Singh (2023). Developments and Uses of Generative Artificial Intelligence and Present Experimental Data on the Impact on Productivity Applying Artificial Intelligence that is Generative. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJAREEIE), 12(10).

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Published

2024-03-20

How to Cite

Aashay Gupta. (2024). Development of Real-Time Phishing Detection in Email Systems for Protecting Users and Enterprises through Deep Learning-Based URL and Content Analysis Techniques . Journal of Computational Analysis and Applications (JoCAAA), 33(4), 1204–1221. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5752