Machine Learning Cyberattack Strategies with Petri Nets with Players, Strategies, and Costs

Author:

Bland John A.ORCID,Colvett C. DanielORCID,Cantrell Walter AlanORCID,Mayfield Katia P.ORCID,Petty Mikel D.ORCID,Whitaker Tymaine S.ORCID

Publisher

Springer International Publishing

Reference14 articles.

1. Banks, J., Carson, J.S., Nelson, B.L., Nicol, D.M., Banks, C.M.: Discrete-Event System Simulation, 5th edn. Prentice-Hall, Upper Saddle River (2012)

2. Bland, J.A.: Machine learning of cyberattack and strategies. Ph.D. thesis, University of Alabama in Huntsville (2018)

3. Bland, J.A., Mayfield, K.P., Petty, M.D., Whitaker, T.S.: Validating Petri Net models of common attack pattern enumeration and classification. In: Proceedings of the 2017 AlaSim International Conference and Exposition, Huntsville, AL (2017)

4. Cantrell, W.A., Mayfield, K.P., Petty, M.D., Whitaker, T.S., Bland, J.A.: Structured face validation of extended Petri Nets for modeling cyberattacks. In: Proceedings of the 2017 AlaSim International Conference and Exposition, Huntsville, AL (2018)

5. Ferragut, E.M., Brady, A.C., Brady, E.J., Ferragut, J.M., Ferragut, N.M., Wildgruber, M.C.: HackAttack: game-theoretic analysis of realistic cyber conflicts. In: Proceedings of the 11th Annual Cyber and Information Security Research Conference, no. 1, p. 8. https://doi.org/10.1145/2897795.2897801 . http://arxiv.org/abs/1511.04389

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