EVALUATING PHISHING DETECTION SYSTEMS AGAINST OBFUSCATED URLS: A BENCHMARK AND ANALYSIS.

Cyber security is an arms race between the bad guys and phishing protection systems, as the former continue to seek ways to obfuscate URLs. Machine learning techniques are highly effective in detecting phishing URLs, but it remains to be seen how they will hold up under attack. In this paper we repo...

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Bibliographic Details

Published in:	Scientific Culture Vol. 12; no. 5 Part 1; pp. 350 - 360
Main Author:	Punjabi, Sunil Kumar
Format:	Article
Published:	University of the Aegean 2026
Subjects:	Phishing Machine learning Random forest algorithms Internet security Logistic regression analysis Boosting algorithms Multilayer perceptrons
Online Access:	View this record in EBSCOhost