Książka Evolutionary Algorithm to Generate Ellipsoid Detectors for Negative Selection Joseph M Shapiro

Evolutionary Algorithm to Generate Ellipsoid Detectors for Negative Selection

Język: Angielski
Oprawa: Miękka
Wydawca: Biblioscholar
Dostępność: Dostępna u dostawcy
Wysyłamy za 9-15 dni
233.27
Negative selection is a process from the biological immune system that can be applied to two-class (...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2012
strony
162
EAN
9781288395880
ISBN
9781288395880
Enbook ID
08249273
Wydawca
Waga
299
Wymiary
189 x 246 x 9

Pełny opis

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.

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