首页|Studies from University of Brasilia in the Area of Machine Learning Described (Ddos Attack Detection In Sdn: Enhancing Entropybased Detection With Machine Learning)
Studies from University of Brasilia in the Area of Machine Learning Described (Ddos Attack Detection In Sdn: Enhancing Entropybased Detection With Machine Learning)
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NETL
NSTL
Wiley
Current study results on Machine Learning have been published. According to news reporting originating from Brasilia, Brazil, by NewsRx correspondents, research stated, "Software defined network (SDN) has emerged as a new paradigm in terms of network architecture, providing flexibility, agility, and programmability to network management. These benefits boosted the SDN adoption, bringing new challenges mainly related to security, in particular, those related to Denial of Service (DoS) and Distributed Denial of Service (DDoS) attacks." Financial support for this research came from Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ).
BrasiliaBrazilSouth AmericaAlgorithmsCybersecurityCyborgsEmerging TechnologiesMachine LearningUniversity of Brasilia
NETL
NSTL
Wiley
