Protocol based analysis on KDD Intrusion Detection Dataset: Feature relevance analysis and Mining for patterns - Couverture souple

Ramani, Dr. R. Geetha

 
9783639254365: Protocol based analysis on KDD Intrusion Detection Dataset: Feature relevance analysis and Mining for patterns
Couverture souple
ISBN 10 : 3639254368 ISBN 13 : 9783639254365
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

Network security is a challenging problem in Internet. Quiet a number of security solutions are currently available to protect network resources in Internet. Intrusion Detection System(IDS), one of the security solutions analyzes the data from different system and network resources to check for any security breaches and alerts the system administrator. Intrusion Response System(IRS) automatically responds to the security breaches. A tight coupling of IDS and IRS is needed to stop the intrusions. An Intrusion Prevention System(IPS) has the ability to prevent the security breaches. Thus IDS/IRS/IPS plays a major role in Network security. The KDD Cup intrusion detection dataset is a public repository to promote the research works in the fields of IDS/IRS/IPS. In this book, a protocol based analysis is performed on KDD cup intrusion detection dataset which derives the relevance of features through SPSS tool and mines for classification patterns using TANAGRA and DTREG. Thus the outcome of analysis contributes for the development of efficient IDS/IRS/IPS.

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

Présentation de l'éditeur

Network security is a challenging problem in Internet. Quiet a number of security solutions are currently available to protect network resources in Internet. Intrusion Detection System(IDS), one of the security solutions analyzes the data from different system and network resources to check for any security breaches and alerts the system administrator. Intrusion Response System(IRS) automatically responds to the security breaches. A tight coupling of IDS and IRS is needed to stop the intrusions. An Intrusion Prevention System(IPS) has the ability to prevent the security breaches. Thus IDS/IRS/IPS plays a major role in Network security. The KDD Cup intrusion detection dataset is a public repository to promote the research works in the fields of IDS/IRS/IPS. In this book, a protocol based analysis is performed on KDD cup intrusion detection dataset which derives the relevance of features through SPSS tool and mines for classification patterns using TANAGRA and DTREG. Thus the outcome of analysis contributes for the development of efficient IDS/IRS/IPS.

Biographie de l'auteur

Professor and Head of the department(Department of CSE) Rajalakshmi Engineering College, Chennai, India. Ph.D (Computer Science and Engineering). 15 years of experience in teaching and research. Published several technical papers in international journals,conferences and books. Editorial board member for various international journals.

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

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639254368
ISBN 13 
9783639254365
Reliure
Broché
Nombre de pages
240
Coordonnées du fabricant
non disponible
Personne responsable
non disponible