Taking into account the criticality of the “human factor,” the probabilistic approach for analysis is proposed, including: a model for predicting and assessing the level of systems information security, considering random events, including dependent events; model of information-psychological impact on staff; methodical approach for analyzing an influence of staff qualifications and psychological conditions on the level of system information security. The effectiveness of the application is demonstrated by examples.
Part of the book: Probabilistic Modeling in System Engineering
The paper considers the objects, subjects, purposes, tools, methods and implementation of information-psychological impact (IPI). It suggests a cellular automata model of the diffusion process of information-psychological impact in social networks, the hierarchy of the changes in the states of the subjects of information-psychological impact and the chart of transitions from state to state used in the cellular automaton algorithm. The suggested cellular automaton takes into account the effect of forgetting the information-psychological impact, as well as social and psychological parameters and probabilistic characteristics of the subjects of the social network. It therefore allows for the modelling of the diffusion of the information-psychological impact in the social network. The model can be used to determine the number of subjects affected by the information-psychological impact and the possibility of successful diffusion of the impact. The modelling of the suggested algorithm was performed. The results of the modelling are analysed in the paper.
Part of the book: Probability, Combinatorics and Control