It is clear that these are fulfilling a need as a rise in the number of global mobile users has been predicted from 0.8 billion in 2014 to 1.8 billion in 2019 (KPMG, 2015). The introduction of mobile money systems has enabled the would be unbanked population to gain access to financial services and information. Mobile money systems have been generally accepted as an easy means to emergency payments and electronic money transfers to settle domestic financial matters in developing nations. The experimental results of analytical simulation which showed that the offered approach has rather high accuracy and stability of the received solutions are given. These estimates are used then to search cyber-resilience indices. The time distribution function and average time to implement cyber-attacks are the simulation results. The method of the stochastic networks conversion is applied to create analytical models of cyber-attacks. The considered approach assumes the creation of analytical models of cyber-attacks. The coefficient of serviceability on cyber-resilience is offered to be used as the key such indicator. The mathematical foundations of its assessment, allowing to calculate cyber-resilience indices by means of analytical expressions, are considered. The concept of cyber-resilience of computer networks is justified. The paper offers an approach for assessment of cyber-resilience of computer networks based on analytical simulation of computer attacks using a stochastic networks conversion method.
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