CETAnalytics: Comprehensive Effective Traffic Information Analytics for Encrypted Traffic Classification

•Specify the comprehensive effective traffic information and propose the CETAnalytics framework for application encrypted traffic classification, which consists of a preprocessing module, a payload analytics module, a payload statistical characteristics analytics module and a classification module.•Implement the CETAnalytics framework. Totally, The whole implementation is built using the neural network. Particularly, a subnetwork named Attract is proposed as the content analytics module to achieve the encrypted content analysis.•Conduct solid experiments on ISCX VPN2016 datasets. We conduct 4 experiments to evaluate our proposed framework and implementation. The results have shown that our proposed method can outperform the state-of-the-art in both precision and generalization performance.