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A multistage verification method for malicious URL detection using feature selection heuristic rules and machine learning

Abstract Malicious Uniform Resource Locators (URLs) have always been used to conduct cyberattacks. Existing malicious URL detection methods are facing challenges in maintaining high detection accuracy, adapting to evolving attack patterns, and relying on unoptimized feature sets. This paper proposes...

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Uloženo v:
Hlavní autoři: Cheranrach Mahandren, Nornazlita Hussin, Chin Soon Ku, Okmi Mohammed, Firdaus Sahran, Haonan Li, Lip Yee Por
Médium: Artigo
Jazyk:Inglês
Vydáno: Springer 2026-06-01
Edice:Discover Computing
Témata:
Malicious URL detection
Feature selection
Heuristic rules
Machine learning
Cybersecurity
On-line přístup:https://doi.org/10.1007/s10791-026-10311-w
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