Camus: Automatically mapping Cyber Assets to Missions and Users

This research advances Cyber Situation Management by proposing methods for automated mapping of Cyber Assets to Missions and Users (Camus). To enable accurate and efficient cyber incident mission impact assessment, a Camus ontology that defines entities, relationships and attributes (ERAs) associate...

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Bibliographic Details
Published inMILCOM 2009 - 2009 IEEE Military Communications Conference pp. 1 - 7
Main Authors Goodall, J.R., D'Amico, A., Kopylec, J.K.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Asset management
Context modeling
File servers
Information analysis
Intrusion detection
Knowledge management
Manuals
Mathematical model
Ontologies
Semantic Web
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Summary:This research advances Cyber Situation Management by proposing methods for automated mapping of Cyber Assets to Missions and Users (Camus). To enable accurate and efficient cyber incident mission impact assessment, a Camus ontology that defines entities, relationships and attributes (ERAs) associated with them has been drafted. Methods for fusing data from multiple data sources have been developed alongside an ontology-based system to populate the model using existing network data sources. The Camus system demonstrates how commonly available data sources can be rapidly collected, correlated, and fused to automatically map cyber assets to the users who depend on them, to the missions they support, and to the services they provide. Also discussed are the technical architecture and challenges to such an approach.
ISBN:1424452384
9781424452385
ISSN:2155-7578
2155-7586
DOI:10.1109/MILCOM.2009.5380096