A Statistical Judgment Method of Network Attack Threat based on Markov Process Learning Model

In today's network, cyber bullying is becoming more and more important, so ensuring the security of the network system and providing a clean network environment for most computer users is an important issue. This paper aims to study the statistical judgment method of network attack threat based on Markov process training model. The linear prediction technology is used to remove features from the construction of the rule base, and a Markov model is established on this basis. Hidden semi-Markov models are very useful in statistical models, very effective in finding and calculating algorithms, and are used to describe the characteristics of dynamic traffic changes. The test results show that when 2