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@inproceedings{36226, author = {Javorník, Michal and Komárková, Jana and Husák, Martin}, address = {New York}, booktitle = {Proceedings of the 14th International Conference on Availability, Reliability and Security (ARES 2019)}, doi = {http://dx.doi.org/10.1145/3339252.3340522}, keywords = {Attack graph;Bayesian network;Cyber situational awareness;Decision support;Mission resilience}, howpublished = {elektronická verze "online"}, language = {eng}, location = {New York}, isbn = {978-1-4503-7164-3}, pages = {"34:1"-"34:8"}, publisher = {ACM}, title = {Decision Support for Mission-Centric Cyber Defence}, url = {https://dl.acm.org/doi/10.1145/3339252.3340522}, year = {2019} }
TY - JOUR ID - 36226 AU - Javorník, Michal - Komárková, Jana - Husák, Martin PY - 2019 TI - Decision Support for Mission-Centric Cyber Defence PB - ACM CY - New York SN - 9781450371643 KW - Attack graph;Bayesian network;Cyber situational awareness;Decision support;Mission resilience UR - https://dl.acm.org/doi/10.1145/3339252.3340522 N2 - In this paper, we propose a novel approach to enterprise mission modeling and mission-centric decision support for cybersecurity operations. The goal of the decision support analytical process is to suggest an effective response for an ongoing attack endangering established mission security requirements. First, we propose an enterprise mission decomposition model to represent the requirements of the missions' processes and components on their confidentiality, integrity, availability. The model is illustrated in a real-world scenario of a medical information system. Second, we propose an analytical process that calculates mission resilience metrics using the attack graphs and Bayesian network reasoning. The process is designed to help cybersecurity operations teams in understanding the complexity of a situation and decision making concerning requirements on enterprise missions. ER -
JAVORNÍK, Michal, Jana KOMÁRKOVÁ and Martin HUSÁK. Decision Support for Mission-Centric Cyber Defence. Online. In \textit{Proceedings of the 14th International Conference on Availability, Reliability and Security (ARES 2019)}. New York: ACM, 2019, p.~''34:1''-''34:8'', 8 pp. ISBN~978-1-4503-7164-3. Available from: https://dx.doi.org/10.1145/3339252.3340522.
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