An Assessment of Lexical, Network, and Content-Based Features for Detecting Malicious URLs Using Machine Learning and Deep Learning Models

The World Wide Web services are essential in our daily lives and are available to communities through Uniform Resource Locator (URL). Attackers utilize such means of communication and create malicious URLs to conduct fraudulent activities and deceive others by creating deceptive and misleading websi...

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Detalles Bibliográficos
Autores principales: Aljabri, Malak, Alhaidari, Fahd, Mohammad, Rami Mustafa A., Samiha Mirza, Alhamed, Dina H., Altamimi, Hanan S., Chrouf, Sara Mhd. Bachar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436524/
https://www.ncbi.nlm.nih.gov/pubmed/36059391
http://dx.doi.org/10.1155/2022/3241216

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436524/
https://www.ncbi.nlm.nih.gov/pubmed/36059391
http://dx.doi.org/10.1155/2022/3241216

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