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Introduction to Singularities and Deformations

Gert-Martin Greuel Christoph Lossen Eugenii Shustin

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

Algebra; Algebraic Geometry

Disponibilidad
Institución detectada Año de publicación Navegá Descargá Solicitá
No detectada 2007 SpringerLink

Información

Tipo de recurso:

libros

ISBN impreso

978-3-540-28380-5

ISBN electrónico

978-3-540-28419-2

Editor responsable

Springer Nature

País de edición

Reino Unido

Fecha de publicación

Información sobre derechos de publicación

© Springer-Verlag Berlin Heidelberg 2007

Cobertura temática

Tabla de contenidos

Singularity Theory

Gert-Martin Greuel; Christoph Lossen; Eugenii Shustin

Short sequences of system calls have been proven to be a good signature description for anomalous intrusion detection. The signature provides clear separation between different kinds of programs. This paper extends these works by applying fuzzy neural network (FNN) to solve the sharp boundary problem and decide whether a sequence is “normal” or “abnormal”. By using threat level of system calls to label the sequences the proposed FNN improves the accuracy of anomaly detection.

Pp. 1-220

Local Deformation Theory

Gert-Martin Greuel; Christoph Lossen; Eugenii Shustin

Short sequences of system calls have been proven to be a good signature description for anomalous intrusion detection. The signature provides clear separation between different kinds of programs. This paper extends these works by applying fuzzy neural network (FNN) to solve the sharp boundary problem and decide whether a sequence is “normal” or “abnormal”. By using threat level of system calls to label the sequences the proposed FNN improves the accuracy of anomaly detection.

Pp. 221-377