URSID: Automatically Refining a Single Attack Scenario into Multiple Cyber Range Architectures
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-57537-2_8
Reference22 articles.
1. Ammann, P., Wijesekera, D., Kaushik, S.: Scalable, graph-based network vulnerability analysis. In: Proceedings of the 9th ACM Conference on Computer and Communications Security, pp. 217-224. CCS ’02, Association for Computing Machinery, New York, NY, USA (2002). https://doi.org/10.1145/586110.586140, https://doi.org/10.1145/586110.586140
2. BESSON, P.V.: Ursid repository (2023). https://gitlab.inria.fr/pibesson/ursid-final
3. Besson, P.V., et al.: CERBERE: cybersecurity exercise for red and blue team entertainment, reproducibility. In: CyberHunt 2023 - 6th Annual Workshop on Cyber Threat Intelligence and Hunting. IEEE Computer Society, Sorrento, Italy (Dec 2023). https://centralesupelec.hal.science/hal-04285565
4. Corporation, O.: Virtualbox (2005). https://www.virtualbox.org/
5. Costa, G., Russo, E., Armando, A.: Automating the generation of cyber range virtual scenarios with VSDL. J. Wirel. Mobile Netw., Ubiquit. Comput., Dependable Appl. 13(4), 61–80 (dec 2022). https://doi.org/10.58346/jowua.2022.i4.004, https://doi.org/10.58346
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