Adaptive Intrusion Tolerant Database Systems

ISBN-13: 9783639114515 / Angielski / Miękka / 2008 / 172 str.

Pramote Luenam; Peng Liu; Anthony F. Norcio

Opis

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.

O autorze

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