Abstract
Cyber attribution is a difficult problem, and conducting attribution research is made even more difficult by a lack of data with ground truth. In this chapter, we describe a game-based framework (Capture-the-Flag) to produce cyber attribution data with deception. We discuss the motivation and the design of the contest and the framework to record data. The framework is available as open source software.
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References
C. Cowan, S. Arnold, S. Beattie, C. Wright, and J. Viega. Defcon capture the flag: Defending vulnerable code from intense attack. In DARPA Information Survivability Conference and Exposition, 2003. Proceedings, volume 1, pages 120–129. IEEE, 2003.
DARPA. Cyber grand challenge, 2016. http://archive.darpa.mil/cybergrandchallenge/.
A. Ruef, E. Nunes, P. Shakarian, and G. I. Simari. Cyber attribution game framework. 2017. Available at https://github.com/trailofbits/attribution-vm.
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Nunes, E., Shakarian, P., Simari, G.I., Ruef, A. (2018). Enhanced Data Collection for Cyber Attribution. In: Artificial Intelligence Tools for Cyber Attribution. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-73788-1_6
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DOI: https://doi.org/10.1007/978-3-319-73788-1_6
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