High availability network usually are a huge number of malicious invasion of current early warning method can only analyze the history and the current network intrusion status

cannot predict the future high availability network invasion situation

in order to improve the accuracy of early warning

put forward a new high availability network intrusion early warning method

this paper introduces the hidden markov model

on this basis

the building based on the HMM model of real-time high availability network intrusion early warning model

according to the analysis of risk theory to the evaluation result

the high availability network state was divided into four grades

by building the HMM-NSSP model to realize the network intrusion early warning. In order to improve the early warning of the HMM-NSSP model precision

the introduction of the maximum entropy method for high availability network security situational consistency judgement

to complete the high availability of network intrusion early warning method improvement

the experimental results show that the proposed method the early warning results and actual results are basically identical

has the very high accuracy of early warning

a high availability.