Abstract: The power monitoring system is the core facility for ensuring stable power supply.Currently,most of the network security defense measures for power monitoring systems are based on fixed strategies,which often lack specificity for the current system environment and security events.Moreover,implementing such defense strategies can also have a significant impact on the normal operation of system business.To solve the above problem,a cooperative defense method for network space object is proposed.Firstly,in order to block network threats,IP tracing technology is used to redraw the attack path,taking into account the number of hops between nodes and the attacked object in the attack path,as well as the network traffic at nodes.A fitness function is constructed,and the optimal blocking position is determined based on the idea of improved genetic algorithm.Secondly,based on the types of objects,it formulates defense strategies for classifying objects,introduces a defense action correlation calculation model,and determines specific defense actions.Simulation experiments show that the proposed network space objectco-operative defense method has significant advantages in selecting and executing defense actions,as well as defense effectiveness,which can minimize the impact of defense actions on normal system operations.

Key words: Power monitoring system, Network space, Cooperative defense, Genetic algorithm, Correlation analysis