加密流量分类-论文1:Deep Learning for Encrypted Traffic Classification_ An Overview 烟玉蓝田 16 人赞同了该文章 0、摘要 这是篇关于加密流量分类的综述,加密流量分类的入门之作,流量分类应用范围广泛,从isp的QoS提供和计费,到防火墙和入侵检测系统的安全应用。从最简单基于端口的、数据包检测到经典的机器学习方法...
加密流量分类-论文2:Deep Packet_ A Novel Approach For Encrypted Traffic Classification Using Deep Learning 0、摘要 论文提出的方案称为“深度包”(deep packet),可以处理网络流量分类为主要类别(如FTP和P2P)的流量表征,以及需要终端用户应用程序(如BitTorrent和Skype)识别的应用程序识别。与现有的大多数方法不同,...
The available information in encrypted traffic classification is composed of two parts: the complex traffic-level features and the diverse network-side behaviors. To fully utilize these two parts of information, we propose an approach, called Encrypted Traffic Classification using Graph Convolutional ...
and evaluate it in terms of three metrics on real-world encrypted traffic. The result shows the classification has better performance compared with the previously. Keywords: traffic classification, machine learning, k-means clustering. 1 Introduction With the rapid expansion of application types on ...
This paper proposes an approach of encrypted network traffic classification based on entropy calculation and machine learning technique. Apart from using ordinary Shannon’s entropy, we examine entropy after encoding and a weighted average of Shannon bin
Aiming at the problem that the current encrypted traffic classification methods only use the single network framework such as convolutional neural network(CNN), recurrent neural network(RNN), and stacked autoencoder(SAE), and only construct a shallow network to extract features, which leads to the ...
WENC: HTTPS Encrypted Traffic Classification Using Weighted Ensemble Learning and Markov Chain 来自 Semantic Scholar 喜欢 0 阅读量: 350 作者:W Pan,G Cheng,Y Tang 摘要: SSL/TLS protocol is widely used for secure web applications (i.e., HTTPS). Classifying encrypted SSL/TLS based applications ...
Traffic classification technologies have evolved as a key component for modern network protection and management systems. However, encryption algorithms have been adopted in traffic transmission to enhance communication security and privacy protection. Traditional traffic classification methods that rely on valua...
The pre-trained model can be fine-tuned on a small number of task-specific labeled data and achieves state-of-the-art performance across five encrypted traffic classification tasks, remarkably pushing the F1 of ISCX-Tor to 99.2% (4.4% absolute improvement), ISCX-VPN-Service to 98.9% (5.2%...
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...