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For the existing problems that data source is single, real-time is not strong, the accuracy rate is not high in the process of network security situation assessment, a network security situation awareness method based on algorithm of association rules is proposed. Through the analysis of the data, association rules about the security situation in the network can be found; based on network attack effect of entropy sequence analysis, association rules are classified for the space of normal and abnormal, and then the cluster analysis to association rules is carried on. Levels of network security situation are divided according to the clustered rules, the improved algorithm is applied to network security situational awareness, experimental results show that, the model can meet the requirements of the network security hazard warning and real-time monitoring. The improved algorithm used for security situational awareness is feasible and effective.