Method of network security situation prediction based on IHS_LSSVR
Chen Hon · Computer Engineering and Applications Journal · 2014
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.