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In this paper, a method for attribute selection is used in a dispersed decision-making system with dynamically generated disjoint clusters. The system that is used has been proposed in the earlier studies of the author. The aim of the paper is to apply in this system, the method of attribute selection that is based on the rough set theory. Another objective is to compare the results obtained with...
Nowadays, it becomes more and more important to construct high-level attack scenarios from low-level intrusion alerts reported by intrusion detection systems (IDSs). Some methods have been presented to resolve this problem. These methods have different strengths. However, they also have different limitations. In order to build complicated attack processes accurately, this paper uses cluster and correlation...
For the purpose of reducing redundant alerts and false alerts as well as recognizing complicated attack scenarios, a multilevel model of alert fusion is presented. This model fuses alerts layer upon layer through primary alert reduction, alert verification, alert clustering and alert correlation. In order to construct accurate and complete attack sensors, in the phase of alert clustering, this paper...
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