Database Reference
In-Depth Information
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Number of Attributes
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SeaView
MLR
Jajodia-Sandhu
Belief-Consistent
Smith-Winslett
Figure 2.5 The impact of varying the number of attributes on the performance of a multilevel
database.
2.5.4 Impact of Varying the Number of Security Levels
This experiment was designed to determine if the cost of processing
varying numbers of security levels has an impact on the performance
of the multilevel database models (FigureĀ 2.6).
2.5.5 Analysis of Experimental Results
From the previous experimental results, the performance of the
Smith-Winslett model is the best because it does not support security
classification at the level of each single attribute; the access classes can
be assigned only to key attributes and to tuples as a whole. The MLR
model offers less performance than the Smith-Winslett model because
it supports classification at the level of each single attribute. The
belief-consistent model offers less performance than the MLR model
because it supports a combination of classification levels for each single
attribute to enable the user to assert his beliefs of lower level users'
information. The Jajodia-Sandhu model has performed badly because
of the impact of union operation between single-level relations in the
recovery algorithm. The SeaView model performs very badly because
of the impact of join operation between vertical, single-level relations
 
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