Retraction Note to: Traffic identification and traffic analysis based on support vector machine

As the number of applications based on Internet is increasing, traffic becomes more and complex. So how to improve service quality security network becoming important. This paper studies application support vector machine in identification classify traffic. Through data collection feature generation methods screening methods, used as a classifier by using generalization capability machine, parameters kernel functions are adjusted selected cross-comparison ideas methods. Using cross-validation method make most reasonable statistics for classification recognition accuracy avoids situation that unstable or inaccurate. Finally, system realized. The final rate encrypted up 99.31%, which overcomes disadvantages traditional achieves fairly reliable accuracy.