This paper introduces an encrypted traffic classification model via adversarial pre-trained transformers-EAPT. The model utilizes the SentencePiece to tokenize encrypted traffic data, effectively addressing the issue of coarse tokenization granularity, thereby ensuring that the tokenization results more ...
Based on a public dataset of encrypted traffic, we evaluate Distiller in a fair comparison with state-of-the-art deep learning architectures proposed for encrypted traffic classification (and based on single-modality philosophy). Results show the gains of our proposal over both multitask extensions ...
文章联接:End-to-end encrypted traffic classification with one-dimensional convolution neural networks | IEEE Conference Publication | IEEE Xplore 文章亮点:以前是基于特征提取的,现在不用特征提取,是端到端的处理,原始流量到分类的过程,然后自己可以加一些小的模块,发论文 后续一些做端到端的论文:例如 A novel...
Evaluating Resilience of Encrypted Traffic Classification Against Adversarial Evasion Attacks中文翻译评估“加密流量分类”面对“对抗性逃避攻击”下的弹性作者单位渥太华大学,加拿大期刊IEEE Symposium on…
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Cao Z,Xiong G,Zhao Y,et al.A survey on encrypted traffic classification[C]//International Conference on Applications and Techniques in Information Security.Berlin:Springer,2014,490:73-81.Z. Cao, G. Xiong, Y. Zhao, Z. Li, and L. Guo. A survey on encrypted traffic classification. In ...
本文首先简要介绍了加密流量分类方法的发展历程，从基于端口、数据包检验、流量统计特征到基于深度学习的方法。接着，详细阐述了网络流量分类的流程框架，包括问题定义、数据收集、数据预处理、特征提取、模型选择与训练等步骤。在深度学习技术部分，本文具体讨论了多层感知机（MLP）、卷积神经网络（CNN）、循环...
By the rapid development of the Internet and online applications, traffic classification not only has changed to an interesting topic in the field of compu
code implementation for paper: A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification If you find this method helpful for your research, please cite this paper: @article{lin2022novel, title={A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification}, author...
In response, we propose a method for encrypted traffic classification based on a Staggered Attention Network using Graph Neural Networks (SAT-Net), which takes into consideration both computer network topology and user interaction processes. Firstly, we design a Packet Byte Graph (PBG) to ...