International Journal of Advanced Research in Computer and Communication Engineering

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.

Downloads: | DOI: 10.17148/IJARCCE.2025.1412109