Ontology For Data Integration In Honeynet

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Danny Velasco Silva , Glen Rodríguez Rafael


This study presents the development of an ontology for data integration in honeynets in relation to the aspects of data collection and data mapping. The open source tool Protégé was used to develop the ontology using methontology as the methodological basis. The ontology was validated through an experiment conducted by experts, which used several indicators: necessary terms, identified concepts, relations utilised, taxonomy, properties, instances, constants, dictionary of concepts, ad hoc binary relations, instance attributes, class attributes, axioms, and rules; in addition, it identified potential errors.

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