The following publications are possibly variants of this publication:
- Rosetta: Enabling Robust TLS Encrypted Traffic Classification in Diverse Network Environments with TCP-Aware Traffic AugmentationRenjie Xie, Jiahao Cao, Enhuan Dong, Mingwei Xu, Kun Sun 0001, Qi Li 0002, Licheng Shen, Menghao Zhang. uss 2023: 625-642 [doi]
- Enabling Application-Aware Traffic Engineering in IPv6 NetworksLin He 0004, Shicheng Wang, Yichi Xu, Peng Kuang, Jiamin Cao, Ying Liu 0024, Xing Li, Shuping Peng. network, 36(2):42-49, 2022. [doi]
- Optimizing Feature Selection for Efficient Encrypted Traffic Classification: A Systematic ApproachMeng Shen, Yiting Liu, Liehuang Zhu, Ke Xu 0002, Xiaojiang Du, Nadra Guizani. network, 34(4):20-27, 2020. [doi]
- TLS/SSL Encrypted Traffic Classification with Autoencoder and Convolutional Neural NetworkYing Yang, Cuicui Kang, Gaopeng Gou, Zhen Li, Gang Xiong. hpcc 2018: 362-369 [doi]
- Byzantine-Resilient Online Federated Learning with Applications to Network Traffic ClassificationDacheng Wen, Yupeng Li, Francis C. M. Lau 0001. network, 37(4):145-152, July / August 2023. [doi]
- An Improved Stacked Auto-Encoder for Network Traffic Flow ClassificationPeng Li, Zhikui Chen, Laurence T. Yang, Jing Gao, Qingchen Zhang, M. Jamal Deen. network, 32(6):22-27, 2018. [doi]