Abstract: The traditional network resource behavior detection method can not accurately determine the symbol
observation of resource behavior，resulting in poor detection effect and severe limitation of overall detection．
Therefore，a new detection method of public resource abuse based on hidden markov model is proposed． The
hidden markov model is constructed to determine the current observation symbol sequence through data analysis．
And the behavior detection is based on the information of Windows operating system． A set of sensitive file
information is constructed and distributed it in system sensitive folders． On this basis，the current hidden markov
model parameters are determined． The probability difference value of corresponding sequence is calculated，and
the actual threshold value is set to determine the resource abuse behavior according to the current information
security requirements of public resource network． The simulation results show that the monitoring method is
reallistic and effective，and has higher generalization and application performance．

Key words: public resources, network behavior, training parameters