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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| Materias: | |
| 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 |