Self Configuring Intrusion Detection System (SCIDS) - Tapa blanda

Sonawane, Sandip

 
9783659922893: Self Configuring Intrusion Detection System (SCIDS)
Tapa blanda
ISBN 10: 3659922897 ISBN 13: 9783659922893
Editorial: LAP LAMBERT Academic Publishing, 2016

Sinopsis

With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to identify malicious use is through monitoring unusual user activity. To identify these malicious activities various data-mining and machine learning techniques have been deployed for intrusion detection. This book proposes Self Configuring Intrusion Detection System (SCIDS) to make tuning automatically. The key idea is to use the binary SLIPPER as a basic module, which is a rule learner based on confidence-rated boosting. This system is evaluated using the NSL KDD intrusion detection dataset. An experimental result shows the SCIDS system with SLIPPER algorithm gives better performance in terms of detection rate, false alarm rate, total misclassification cost and cost per example on NSL-KDD dataset than that of on KDD.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to identify malicious use is through monitoring unusual user activity. To identify these malicious activities various data-mining and machine learning techniques have been deployed for intrusion detection. This book proposes Self Configuring Intrusion Detection System (SCIDS) to make tuning automatically. The key idea is to use the binary SLIPPER as a basic module, which is a rule learner based on confidence-rated boosting. This system is evaluated using the NSL KDD intrusion detection dataset. An experimental result shows the SCIDS system with SLIPPER algorithm gives better performance in terms of detection rate, false alarm rate, total misclassification cost and cost per example on NSL-KDD dataset than that of on KDD.

Biografía del autor

Sandip Sonawane, Assitant Professor,Department of Information Technology,R. C. Patel Institute of Technology,Shirpur,Dist-Dhule,Maharashtra

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2016
Idioma
Inglés
ISBN 10 
3659922897
ISBN 13 
9783659922893
Encuadernación
Tapa blanda
Número de páginas
80
Contacto del fabricante
no disponible
Persona responsable
no disponible