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In this paper are analyzed the technical methods for filtering network traffic, their advantages and disadvantages. As well as A comparative analysis are carried out of the method of monitoring and filtering network traffic by intercepting network packets implementing deep packet analysis technologies, the machine learning method Random Forest for filtering traffic, which is an ensemble method that works by constructing many decision trees, the method of filtering traffic by calculating thedoi:10.30534/ijeter/2020/15852020 fatcat:bqienmpouncfjgeykapxgbzwf4