Node importance measurement method of command information system for resilience
In order to enhance the resilience of the command information system and improve the efficiency cost ratio of resource utilization,limited resources must be invested in the important nodes that have the most significant impact on the system resilience.This paper analyzes the resilience process of the command information system and evaluates its resilience based on the average functional level of the command information system within the specified recovery time after the attack.The command information system model and node model are established.The node importance is measured according to the degree of impact on system resilience when the resilience of each node increases/decreases at the same rate.A node importance calculation method based on Monte Carlo simulation is proposed.Through simulation experiments,the resilience process of the command information system,the node importance measurement method and its performance,application scenarios are verified.The experimental results show that the measurement method can effectively distinguish the importance of the command information system nodes,and has certain advantages in monotony and accuracy.It can be used to enhance the resilience of the command information system in the planning and design,operation and maintenance management,emergency repair and other stages.
command information systemresiliencenode importancefunctional levelMonte Carlo simulation
万方数据
维普
