VPN Encrypted Traffic classification using XGBoost

2021 International Journal of Emerging Trends in Engineering Research  
Classification network traffic are becoming ever more relevant in understanding and addressing security issues inInternet applications. Virtual Private Networks (VPNs) have become one famous communication forms on the Internet. In this study, a new model for traffic classification into VPN or non-VPN is proposed. XGBoost algorithm is used to rank features and to build the classification model. The proposed model overwhelmed other classification algorithms. The proposed model achieved 91.6%
more » ... acy which is the highest registered accuracy for the selected dataset. To illustrate the merit of the proposed model, a comparison was made with sixteen different classification algorithms
doi:10.30534/ijeter/2021/20972021 fatcat:gjwy64o2qncathedum5elmldpm