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Investigating Evasive Techniques in SMS Spam Filtering: A Comparative Analysis of Machine Learning Models

The persistence of SMS spam remains a significant challenge, highlighting the need for research aimed at developing systems capable of effectively handling the evasive strategies used by spammers. Such research efforts are important for safeguarding the general public from the detrimental impact of...

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Detalles Bibliográficos
Principais autores: Muhammad Salman, Muhammad Ikram, Mohamed Ali Kaafar
Formato: Artigo
Idioma:Inglês
Publicado: IEEE 2024-01-01
Series:IEEE Access
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Acceso en liña:https://ieeexplore.ieee.org/document/10431737/
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