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Several research efforts have recently focused on achieving distributed anomaly detection in an effective way. As a result, new information fusion algorithms and models have been defined and applied in order to correlate information from multiple intrusion detection sensors distributed inside the network. In this field, an approach which is gaining momentum in the international research community relies on the exploitation of the Dempster - Shafer (D - S) theory. Dempster and Shafer have conceived a mathematical theory of evidence based on belief functions and plausible reasoning, which is used to combine separate pieces of information (evidence) to compute the probability of an event.
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