Abstract: To address the situation prediction problem in the network security situation awareness,this paper presented a prediction method of network security situation based on the algorithm of HIS_RELM． We proposed an improved harmony search(IHS) algorithm after studying the principle of the harmony search(HS) algorithm．This method embeds the regularized extreme learning machine(RELM) 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 input weights and hidden layer threshold of the RELM．To some extent,this enhances the learning ability and generalization ability of the RELM．Simulation experiments show that this method has better prediction affection in comparison with other existing prediction methods.

Key words: Harmony search algorithm(HS),Regularized extreme learning machine(RELM),Network security situation prediction,Parameters optimization