Users and Internet service providers (ISPs) are constantly affected by denial-of-service (DoS) attacks. This cyber threat continues to grow even with the development of new protection technologies. Developing mechanisms to detect this threat is a current challenge in network security. This article presents a machine learning- (ML-) based DoS detection system. The proposed approach makes inferences based on signatures previously extracted from samples of network traffic. The experiments were performed using four modern benchmark datasets. The results show an online detection rate (DR) of attacks above 96%, with high precision (PREC) and low false alarm rate (FAR) using a sampling rate (SR) of 20% of network traffic.
RESUMO-(Descrição e discriminação de formas de nervuras foliares utilizando a representação polioomial cúbica de Hermite). Este artigo descreve um método para caracterização de nervuras utilizando a representação polinomial cúbica de Hermite. Os elementos associados a esta representação são usados como descritores das nervuras e o potencial discriminatório é analisado com base na identificação de duas espécies de leguminosas (Lonchocarpus muehlbergianus Hassl. e L. subglaucescens Mart. ex Benth.). Os vetores de geometria de Hermite exercem iofluência sobre toda a extensão da curva modelada, permitindo a descrição global da nervura por um descritor de baixa dimensionalidade. Os resultados obtidos mostram que o método foi eficaz na separação das espécies analisadas e apresenta-se como uma opção adicional aos métodos para caracterização de nervuras usualmente utilizados em taxonomia vegetal.
Palavras-chave: Lonchocarpus, venação foliar, descritores de forma, classificaçãoABSTRACf -(Leaf vein shape description and discrimination using Hermite cubic polynomial representation). This paper describes a method for leaf vein shape characterization using Hermite polynomial cubic representation. The elements associated with this representation are used as secondary vein descriptors and their discrimioatory potential are analyzed based on the identification oftwo legume species (Lonchocarpus muehlbergianus Hassl. and L. subglaucescens Mart. ex Benth.). The elements of Hermite geometry influence a curve along ali its extension allowing a global description of the secondary vein course by a descriptor oflow dimensionality. The obtained results shown the analyzed species can be discriminated by this method and it can be used in addition to commonly considered elements in the taxonomic processo
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