ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification

1 code implementation • 13 Feb 2022 • Xinjie Lin, Gang Xiong, Gaopeng Gou, Zhen Li, Junzheng Shi, Jing Yu

In this paper, we propose a new traffic representation model called Encrypted Traffic Bidirectional Encoder Representations from Transformer (ET-BERT), which pre-trains deep contextualized datagram-level representation from large-scale unlabeled data.

Classification Management +1