关键词: 网络安全态势, 参数优化, 布谷鸟搜索算法, 估计模型

Abstract: In order to obtain more ideal estimate effect of network security situation, this paper proposed an estimation model based on network security situational combination method. Firstly, samples of network security situation were collected and processed to get the learning samples. Secondly, the training sample sets were input to the BP neural network to learn, and the cuckoo search algorithm was adopted to select the most reasonable parameters of the BP neural network. Finally the simulation experiments were used to analyze the performance of model. The results show that, the proposed model greatly reduces the fitting error and the prediction error of network security situation, it is a scientific, reasonable estimation model of network security situation, and the estimation results have a certain practical application value.
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Key words: network security situation, parameters optimization, cuckoo search algorithm, assessment model