Comparative Analysis of Methods Content Filtering Network Traffic

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 the entropy increment for each of the filter attributes, the method of filtering http-packets allows you to reduce the user waiting time for the requested information and the scheme protection of information availability algorithm based on neural network system.