A methodological approaches aimed at obtaining the optimal set of controlled parameters of cyber-physical-social systems for monitoring of security events and incidents is suggested. Synthesis of the optimal parameters is carried out not only on the basis of known and approved methods of decomposition (structural, parametric and evolutional) and dynamic reduction, but also taking into account uncertainty, ambiguity and unreliability (inadequacy, incompleteness) of the initial information. The paper considers the mechanisms to formalize different stages of synthesizing a set of controlled parameters. The proposed set of controlled parameters claims to be optimal by the criteria of reliability (completeness, depth), informativeness (the value of the information) and operativeness of data collection and processing. The results of computational experiments on synthesizing the optimal set of controlled parameters based on fuzzy sets and neural networks are outlined.
CITATION STYLE
Kotenko, I., & Parashchuk, I. (2018). Synthesis of Controlled Parameters of Cyber-Physical-Social Systems for Monitoring of Security Incidents in Conditions of Uncertainty. In Journal of Physics: Conference Series (Vol. 1069). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1069/1/012153
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