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Stochastic Violator Model
(Igor Sikorsky Kyiv Polytechnic Institute, 2021) Kaczynski, Anatoliy; Kireienko, Oleksandr; Kozlenko, Oleh
This paper introduces a new type of violator model that is based on Markov chains. It can be used as a scenario model AS IS or as a mathematical model with quantitative estimates if additional information is presented. Our aim with this paper was to develop a model that will allow to restore missing data, using existing knowledge about violator. The results show that presented scenario for general cases cover the majority of attacks and can be applied to real-life scenarios too. Summing up the results, it can be concluded that additional improvement of the model should be focused on data gathering to ensure that existing data will be enough to recover the rest.