Network Security Situation Evaluation Strategy Based on Cloud Gravity Center Judgment

Abstract—Aiming at the problems of subjectivity and complexity in network security situation assessment process, the Cloud model is introduced to the network security situation assessment, and a network security evaluation method based on Cloud Model is proposed. Firstly, the level of network security situation is judged by Cloud gravity center evaluation method. Secondly, Maximum boundary based Cloud Model (MCM) method is applied to obtain the final assessment results. Thirdly, future security situation is predicted by adopting BP neural network based on improved genetic algorithm according to the result of situation assessment. Finally, the effectiveness and feasibility of the proposed evaluation method and the prediction effect for GA-BPNN are verified by the simulation experiment. The results show that the proposed evaluation and prediction method is feasible, and the results of the assessment are more objective and accurate