Simulation Research on Optimization of Attack Information in Power Resources Network
An optimization recognition method of attack information in power resource network is proposed based on adjacency matrix.Firstly,the vulnerability adjacency matrix is built according to the theory of risk adjacency matrix and the system vulnerability of power resource network is evaluated quantitatively.The attack action in method of power information system is analyzed integrated with parallel generation theory of attack graph.Then,the security flaw existing in power resource network is located to work out the attack success probability.Finally,the attack measure index of power resource networked parallel is given out according to the probability and the optimization recognition of attack information is completed.The simulation results show that the modified method has high recognition precision.It can reduce the attack risk of power resource network effectively and ensure the network stable operation.
Power resource networkAttack informationSystem vulnerability