The increasingly severe network security situation brings unanticipated challenges to mobile networking. Traditional HMM\n(HiddenMarkovModel) based algorithms for predicting the network security are not accurate, and to address this issue, a weighted\nHMM based algorithm is proposed to predict the security situation of the mobile network.The multi scale entropy is used to address\nthe low speed of data training in mobile network, whereas the parameters of HMM situation transition matrix are also optimized.\nMoreover, the auto correlation coefficient can reasonably use the association between the characteristics of the historical data to\npredict future security situation. Experimental analysis on DARPA2000 shows that the proposed algorithm is highly competitive,\nwith good performance in prediction speed and accuracy when compared to existing design.
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