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Intrusion Detection Systems (IDS) deploy various sensors that collect data, process this data and report events. The process of combining these events or superordinate incidences is known as event correlation. The key issues of this process are (1) to find a way how to combine events based on different data types (e. g. log entries, connection statistics or protocol identifiers), (2) to build a model...
Accurate sensing of the spectrum condition is of crucial importance to the mitigation of the spectrum scarcity problem in dynamic spectrum access (DSA) networks. Specifically, distributed sensing has been recognized as a viable means to enhance the incumbent signal detection by exploiting the diversity of sensors. However, it is challenging to make such distributed sensing secure due mainly to the...
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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