Name: An Evolutionary Algorithm to Generate Ellipsoid Detectors for Negative Selection (en Inglés)
Price: 85.07 USD
Availability: InStock
Author: Shapiro, Joseph M.
ISBN: 9781288395880

portada An Evolutionary Algorithm to Generate Ellipsoid Detectors for Negative Selection (en Inglés)

An Evolutionary Algorithm to Generate Ellipsoid Detectors for Negative Selection (en Inglés)

Formato

Libro Físico

Autor

Joseph M. Shapiro

Editorial

Biblioscholar

Idioma

Inglés

N° páginas

162

Encuadernación

Tapa Blanda

Dimensiones

24.6 x 18.9 x 0.9 cm

Peso

0.30 kg.

ISBN13

9781288395880

Categorías

Educación

An Evolutionary Algorithm to Generate Ellipsoid Detectors for Negative Selection (en Inglés)

Joseph M. Shapiro (Autor) · Biblioscholar · Tapa Blanda

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Reseña del libro "An Evolutionary Algorithm to Generate Ellipsoid Detectors for Negative Selection (en Inglés)"

Negative selection is a process from the biological immune system that can be applied to two-class (self and nonself) classification problems. Negative selection uses only one class (self) for training, which results in detectors for the other class (nonself). This paradigm is especially useful for problems in which only one class is available for training, such as network intrusion detection. Previous work has investigated hyper-rectangles and hyper-spheres as geometric detectors. This work proposes ellipsoids as geometric detectors. First, we establish a mathematical model for ellipsoids. We develop an algorithm to generate ellipsoids by training on only one class of data. Ellipsoid mutation operators, an objective function, and a convergence technique are described for the evolutionary algorithm that generates ellipsoid detectors.