An Electronic Reconfigurable Neural Architecture for Intrusion Detection
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http://hdl.handle.net/10045/50106
Título: | An Electronic Reconfigurable Neural Architecture for Intrusion Detection |
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Autor/es: | Ibarra Picó, Francisco | Grediaga, Angel | García Crespi, Federico | Camara, A. |
Grupo/s de investigación o GITE: | Tecnología Informática Avanzada - Seguridad Legal | Ingeniería Web, Aplicaciones y Desarrollos (IWAD) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Tecnología Informática y Computación |
Palabras clave: | Electronic | Reconfigurable | Neural | Intrusion detection |
Área/s de conocimiento: | Arquitectura y Tecnología de Computadores |
Fecha de publicación: | 2005 |
Editor: | Springer Berlin Heidelberg |
Cita bibliográfica: | Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2005, Las Palmas, Canary Islands, Spain, June 15-18, 2005, Proceedings, Part II. Berlin : Springer, 2005. (Lecture Notes in Computer Science; 3562). ISBN 978-3-540-26319-7, pp. 376-384 |
Resumen: | The explosive growth of the traffic in computer systems has made it clear that traditional control techniques are not adequate to provide the system users fast access to network resources and prevent unfair uses. In this paper, we present a reconfigurable digital hardware implementation of a specific neural model for intrusion detection. It uses a specific vector of characterization of the network packages (intrusion vector) which is starting from information obtained during the access intent. This vector will be treated by the system. Our approach is adaptative and to detecting these intrusions by using a complex artificial intelligence method known as multilayer perceptron. The implementation have been developed and tested into a reconfigurable hardware (FPGA) for embedded systems. Finally, the Intrusion detection system was tested in a real-world simulation to gauge its effectiveness and real-time response. |
Patrocinador/es: | The work has been supported by CICYT TIC2001-2004 Diseño de una arquitectura reconfigurable para algoritmos. |
URI: | http://hdl.handle.net/10045/50106 |
ISBN: | 978-3-540-26319-7 |
ISSN: | 0302-9743 (Print) | 1611-3349 (Online) |
DOI: | 10.1007/11499305_39 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © Springer-Verlag Berlin Heidelberg 2005. The original publication is available at www.springerlink.com |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.1007/11499305_39 |
Aparece en las colecciones: | INV - IWAD - Artículos de Revistas INV - TIA-SL - Artículos de Revistas |
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