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Adaptive Intrusion Tolerant Database Systems (Paperback)
Loot Price: R1,673
Discovery Miles 16 730
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Adaptive Intrusion Tolerant Database Systems (Paperback)
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Total price: R1,693
Discovery Miles: 16 930
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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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