Android Internet Traffic Classification Based on Bayesian Analysis Techniques

ABSTRACT. The wireless telecommunication techniques based on android operation system has been widely used both in life and work. It is of huge importance to classify and monitor the accurate android network traffic . However, the appliance of port jump technique and port encryption technique make classifying network traffic based on port type become much less effective. Here we put forward a method based on Naive Bayesian Analysis to classify different Android application, which combines the features of network data flow and Naive Bayesian. The experimental results show that this method has high classification accuracy.