Adaptive Intrusion Tolerant Database Systems - Couverture souple

Luenam, Pramote

 
9783639114515: Adaptive Intrusion Tolerant Database Systems
Couverture souple
ISBN 10 : 3639114515 ISBN 13 : 9783639114515
Editeur : VDM Verlag Dr. Müller, 2008

Synopsis

Intrusion Tolerant Database System (ITDB) is a new paradigm for secure database systems that can detect intrusions, isolate attacks, contain damage, and assess and repair damage caused by intrusions. What makes ITDB superior to conventional secure approaches is that it has an ability to reconfigure. Thus, it can yield much more stabilized levels of trustworthiness under environmental changes. However, the reconfiguration faces the problem of finding the best system configuration out of a very large number of configuration sets and under multiple conflicting criteria, which is a NPhard problem. This study focuses on two aspects of addressing adaptation problems in ITDB. First, a rule-based mechanism and neuro-fuzzy technique are proposed to apply to the adaptation model. Second, this study examines the effects of the rule-based adaptive controller and the neuro-fuzzy adaptive controller on the adaptation. The purpose of this is to evaluate which of these techniques can yield higher stabilized levels of trustworthiness, data integrity, and data availability in the face of attacks.

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Présentation de l'éditeur

Intrusion Tolerant Database System (ITDB) is a new paradigm for secure database systems that can detect intrusions, isolate attacks, contain damage, and assess and repair damage caused by intrusions. What makes ITDB superior to conventional secure approaches is that it has an ability to reconfigure. Thus, it can yield much more stabilized levels of trustworthiness under environmental changes. However, the reconfiguration faces the problem of finding the best system configuration out of a very large number of configuration sets and under multiple conflicting criteria, which is a NPhard problem. This study focuses on two aspects of addressing adaptation problems in ITDB. First, a rule-based mechanism and neuro-fuzzy technique are proposed to apply to the adaptation model. Second, this study examines the effects of the rule-based adaptive controller and the neuro-fuzzy adaptive controller on the adaptation. The purpose of this is to evaluate which of these techniques can yield higher stabilized levels of trustworthiness, data integrity, and data availability in the face of attacks.

Biographie de l'auteur

Ph.D. (Information Systems) UMBC 2008 PUBLICATIONS ¿P. Luenam, P. Liu The Design of an Adaptive Intrusion Tolerant Database System, IEEE Computer Society Press, 2003 ¿P. Liu, J. Jing, P. Luenam, Y. Wang, L. Li, S. Ingsriswang, The Design and Implementation of a Self-Healing Database System, Journal of Intelligent Information Systems 2004

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
2008
Langue
anglais
ISBN 10 
3639114515
ISBN 13 
9783639114515
Reliure
Broché
Nombre de pages
172
Coordonnées du fabricant
non disponible
Personne responsable
non disponible