关键词: 和声搜索算法, 最小二乘支持向量回归机, 参数优化, 网络安全态势预测

Abstract: To address the situation prediction problem in the network security situation awareness, this paper presents a prediction method of network security situation based on the algorithm of IHS_LSSVR. An improved Harmony Search （IHS） algorithm is proposed since the principle of the Harmony Search（HS） algorithm is studied. This method embeds the Least Squares Support Vector machine for Regression（LSSVR） in the process of the objective function calculation of the improved harmony search algorithm, and takes advantage of the global searching ability of the IHS algorithm to optimize the parameters of the LSSVR. To some extent, this enhances the learning ability and generalization ability of the LSSVR. Simulation experiments show that this method has better prediction affection in comparison with other existing prediction methods.

Key words: Harmony Search algorithm（HS）, Least Squares Support Vector machine for Regression（LSSVR）, parameters optimization, network security situation prediction