关键词: 网络安全, 态势预测, 思维进化算法, 学习向量量化, 神经网络

Abstract: Network security incidents happen all the time, and the Internet continues to be in danger, The network security situation is an index to evaluate the network security situation in a period of time, which provides a precondition for preventing the occurrence of network security incidents. The regression neural network is often used to solve the problem of network security situation evaluation, but there are many defects in the model, resulting in low prediction accuracy. In order to improve the classification accuracy, network situation prediction model based on MEA-LVQ is established, using the mind evolutionary algorithm to optimize the initial weights of the network can effectively make up for the shortcomings of LVQ neural network. Five experiments are carried out with datasets, and the accuracy of each classification of the model is more than 90%. The experiment results show that the model can effectively deal with the classification problem of network security situation, has better evaluation and classification ability, and can provide managers with more reliable reference value, managers can deal with the incidents threatening the network security in time, and effectively maintain the network security and stability.

Key words: network security, network situation prediction, mind evolutionary algorithm, learning vector quantization, neural network