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Decision Support in Open Source Intelligence

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Book cover Intelligent Methods for Cyber Warfare

Part of the book series: Studies in Computational Intelligence ((SCI,volume 563))

Abstract

This chapter describes a decision support system specially designed for applications in open source intelligence. The decision support system was developed within the framework of the FP7 VIRTUOSO project. Firstly, we describe the overall scope and architecture of the VIRTUOSO platform. Secondly, we describe with detail some of most representative components of the DSS. The components employ computational intelligence techniques such as knowledge representation, soft-fusion and fuzzy logic. The DSS together with other tools developed for the VIRTUOSO platform will help intelligence analysts to integrate diverse sources of information, visualize them and have access to the knowledge extracted from these sources. Finally, we describe some applications of decision support systems in cyber-warfare.

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Notes

  1. 1.

    The recent revelations by E. Snowden about the mass surveillance programs deployed by US intelligence agencies has revived the debate within Europe and in other parts of the world about this issue.

  2. 2.

    Weblab is available at weblab-project.org.

  3. 3.

    graphml is an XML-based format used to represent graphs or networks.

  4. 4.

    portlets are pluggable user interface components that are managed by web portals.

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Acknowledgments

The author was member of the team from Aalborg University that participated in VIRTUOSO. The research leading to these results has received funding from the European Union’s Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 242352.

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Correspondence to Daniel Ortiz-Arroyo .

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Ortiz-Arroyo, D. (2015). Decision Support in Open Source Intelligence. In: Yager, R., Reformat, M., Alajlan, N. (eds) Intelligent Methods for Cyber Warfare. Studies in Computational Intelligence, vol 563. Springer, Cham. https://doi.org/10.1007/978-3-319-08624-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-08624-8_5

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