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S. Toliupa

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2026

Detecting phishing URLs with self-organizing models

A novel, hybrid detection framework that constructs a structured “portrait” of each URL by extracting 12 discriminative features-spanning structural, semantic, technical, and morphological dimensions, addressing critical gaps in existing black-box AI systems and aligns with the stringent transparency requirements of security-critical domains such as banking, e-government, and enterprise cybersecurity.

S. Buchyk, S. Toliupa, Anastasiia Shabanova et al. · 0 citations