Cargando…
Predicting Attack Pattern via Machine Learning by Exploiting Stateful Firewall as Virtual Network Function in an SDN Network
Decoupled data and control planes in Software Defined Networks (SDN) allow them to handle an increasing number of threats by limiting harmful network links at the switching stage. As storage, high-end servers, and network devices, Network Function Virtualization (NFV) is designed to replace purpose-...
Autores principales: | Prabakaran, Senthil, Ramar, Ramalakshmi, Hussain, Irshad, Kavin, Balasubramanian Prabhu, Alshamrani, Sultan S., AlGhamdi, Ahmed Saeed, Alshehri, Abdullah |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839531/ https://www.ncbi.nlm.nih.gov/pubmed/35161456 http://dx.doi.org/10.3390/s22030709 |
Ejemplares similares
-
SDN-Defend: A Lightweight Online Attack Detection and Mitigation System for DDoS Attacks in SDN
por: Wang, Jin, et al.
Publicado: (2022) -
Adaptive Suspicious Prevention for Defending DoS Attacks in SDN-Based Convergent Networks
por: Dao, Nhu-Ngoc, et al.
Publicado: (2016) -
Network Security, Firewalls, and VPNs
por: Stewart, J, et al.
Publicado: (2020) -
Network security, firewalls, and VPNs
por: Stewart, James Michael
Publicado: (2011) -
DDosTC: A Transformer-Based Network Attack Detection Hybrid Mechanism in SDN
por: Wang, Haomin, et al.
Publicado: (2021)