Classification of Malicious URLs Using Machine Learning

Amid the rapid proliferation of thousands of new websites daily, distinguishing safe ones from potentially harmful ones has become an increasingly complex task. These websites often collect user data, and, without adequate cybersecurity measures such as the efficient detection and classification of...

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Detalles Bibliográficos
Autores principales: Abad, Shayan, Gholamy, Hassan, Aslani, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537824/
https://www.ncbi.nlm.nih.gov/pubmed/37765815
http://dx.doi.org/10.3390/s23187760

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537824/
https://www.ncbi.nlm.nih.gov/pubmed/37765815
http://dx.doi.org/10.3390/s23187760

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