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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 12, DECEMBER 2025

PhishGuard: A Real-Time URL Network Intrusion Detection System for Phishing Prevention

Diana Prince Chandran Jayasingh, U Vinayaka Prabhu, Adithya P, Prajvith P, Charan B

DOI: 10.17148/IJARCCE.2025.1412109

Abstract: Online users are increasingly exposed to malicious websites disguised as legitimate ones, aiming to steal sensitive information. To combat these threats, PhishGuard, a network intrusion detection system, analyzes URLs using machine learning to classify sites as safe or malicious. It examines features such as domain structure, URL length, special characters, and domain age to detect phishing attempts accurately and in real-time.It is designed to be efficient with low false positives and scalable for future enhancements, providing robust protection against modern cyber threats Index Terms: Phishing Detection,URL Feature Extraction,Real-Time Detection,Cybersecurity,Malicious URL Classification, Scalability, False-Positive Reduction.

How to Cite:

[1] Diana Prince Chandran Jayasingh, U Vinayaka Prabhu, Adithya P, Prajvith P, Charan B, “PhishGuard: A Real-Time URL Network Intrusion Detection System for Phishing Prevention,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.1412109