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