Abstract: This paper used BP neural network algorithm to establish the relationship between the network situation awareness level and the perceived parameters,and situation awareness was assessed quantitatively.The research of neural network in this field is the most mature,but the traditional BP neural network algorithm is slow in feedback error,and it is likely to converge to a local extremum.So the variable step learning strategy and simulated annealing method are used to build a virtual network HoneyNet simulation environment,then the Matlab is used for algorithm simulation.The obtained results are close to the actual results.

Key words: BP neural network, Evaluation index system, Network security, Situation awareness