ZeVigilante: Detecting Zero-Day Malware Using Machine Learning and Sandboxing Analysis Techniques

For the enormous growth and the hysterical impact of undocumented malicious software, otherwise known as Zero-Day malware, specialized practices were joined to implement systems capable of detecting these kinds of software to avert possible disastrous consequences. Owing to the nature of developed Z...

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Detalles Bibliográficos
Autores principales: Alhaidari, Fahd, Shaib, Nouran Abu, Alsafi, Maram, Alharbi, Haneen, Alawami, Majd, Aljindan, Reem, Rahman, Atta-ur, Zagrouba, Rachid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110140/
https://www.ncbi.nlm.nih.gov/pubmed/35586085
http://dx.doi.org/10.1155/2022/1615528

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110140/
https://www.ncbi.nlm.nih.gov/pubmed/35586085
http://dx.doi.org/10.1155/2022/1615528

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