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VMFCVD: An Optimized Framework to Combat Volumetric DDoS Attacks using Machine Learning
Despite significant development in distributed denial of service (DDoS) defense systems, the downtime caused by DDoS damages reputation, crushes end-user experience, and leads to considerable revenue loss. Volumetric DDoS attacks are the most common form of DDoS attack and are carried out by an army...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Berlin Heidelberg
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783776/ https://www.ncbi.nlm.nih.gov/pubmed/35096507 http://dx.doi.org/10.1007/s13369-021-06484-9 |