Abstract
Intelligence workers such as analysts, commanders, and soldiers often need a hypothesis reasoning framework to gain improved situation awareness of the highly dynamic cyber space. The development of such a framework requires the integration of interdisciplinary techniques, including supports for distributed cognition (human-in-the-loop hypothesis generation), supports for team collaboration (identification of information for hypothesis evaluation), and supports for resource-constrained information collection (hypotheses competing for information collection resources). We here describe a cognitively-inspired framework that is built upon Klein’s recognition-primed decision model and integrates the three components of Endsley’s situation awareness model. The framework naturally connects the logic world of tools for cyber situation awareness with the mental world of human analysts, enabling the perception, comprehension, and prediction of cyber situations for better prevention, survival, and response to cyber attacks by adapting missions at the operational, tactical, and strategic levels.
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Acknowledgements
The research described in the chapter is the synthesis of several research projects conducted at Penn State’s College of Information Sciences and Technology. In particular, the research regarding using RPD-enabled agents (i.e., RCAST) as teammates and decision aids has been supported by Army Research Lab under Advanced Decision Architecture Collaborative Technology Alliance (ADA CTA). The research regarding developing flexible hierarchical decision framework using RCAST has been supported by Office of Naval Research. The research regarding RCAST-MED is partially supported by an internal grant from the Pennsylvania State University, and is conducted in collaboration with Shizhou Zhu, Dr. Madhu Reddy, and Dr. Christopher De-Flitch from Hershey Medical Center at Penn State University. The research on hypergraph-based hypothesis reasoning benefited from initial suggestions and many insightful discussions with Dr. Henry C. Foley and Dr. Lee Giles.
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Yen, J., McNeese, M., Mullen, T., Hall, D., Fan, X., Liu, P. (2010). RPD-based Hypothesis Reasoning for Cyber Situation Awareness. In: Jajodia, S., Liu, P., Swarup, V., Wang, C. (eds) Cyber Situational Awareness. Advances in Information Security, vol 46. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0140-8_3
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DOI: https://doi.org/10.1007/978-1-4419-0140-8_3
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