Self Configuring Intrusion Detection System (SCIDS) - Couverture souple

Sonawane, Sandip

 
9783659922893: Self Configuring Intrusion Detection System (SCIDS)
Couverture souple
ISBN 10 : 3659922897 ISBN 13 : 9783659922893
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3659922897
ISBN 13 
9783659922893
Reliure
Broché
Nombre de pages
80
Coordonnées du fabricant
non disponible
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