Dagger: Modeling and visualization for mission impact situation awareness

Dagger is a modeling and visualization framework that addresses the challenge of representing knowledge and information for decision-makers, enabling them to better comprehend the operational context of network security data. It allows users to answer critical questions such as “Given that I care about mission X, is there any reason I should be worried about what is going on in cyberspace?” or “If this system fails, will I still be able to accomplish my mission?”

[1]  Mica R. Endsley,et al.  Toward a Theory of Situation Awareness in Dynamic Systems , 1995, Hum. Factors.

[2]  Lane Harrison,et al.  The future of security visualization: Lessons from network visualization , 2012, IEEE Network.

[3]  Ali A. Ghorbani,et al.  A Survey of Visualization Systems for Network Security , 2012, IEEE Transactions on Visualization and Computer Graphics.

[4]  Jens Rasmussen,et al.  The role of hierarchical knowledge representation in decisionmaking and system management , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[5]  John R. Goodall,et al.  Camus: Automatically mapping Cyber Assets to Missions and Users , 2009, MILCOM 2009 - 2009 IEEE Military Communications Conference.

[6]  Ben Shneiderman,et al.  The eyes have it: a task by data type taxonomy for information visualizations , 1996, Proceedings 1996 IEEE Symposium on Visual Languages.

[7]  Raffael Marty,et al.  Applied Security Visualization , 2008 .

[8]  S. Musman,et al.  Evaluating the Impact of Cyber Attacks on Missions , 2010 .

[9]  Robert F. Mills,et al.  Improving the cyber incident mission impact assessment (CIMIA) process , 2008, CSIIRW '08.

[10]  A. D'Amico,et al.  Mission assurance proof-of-concept: Mapping dependencies among cyber assets, missions, and users , 2012, 2012 IEEE Conference on Technologies for Homeland Security (HST).

[11]  M. Mulder,et al.  The Concept of the ‘Situation” in Psychology , 2004 .

[12]  Gabriel Jakobson,et al.  Mission cyber security situation assessment using impact dependency graphs , 2011, 14th International Conference on Information Fusion.