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DE-GNN: Dual embedding with graph neural network for fine-grained encrypted traffic classification
X Han, G Xu, M Zhang, Z Yang, Z Yu, W Huang… - Computer Networks, 2024 - Elsevier
Nowadays, most network traffic is encrypted, which protects user privacy but complicates the
task of analyzing and classifying encrypted traffic. Identifying the specific categories of …
task of analyzing and classifying encrypted traffic. Identifying the specific categories of …
Detecting anomalies in encrypted traffic via deep dictionary learning
J **ng, C Wu - IEEE INFOCOM 2020-IEEE Conference on …, 2020 - ieeexplore.ieee.org
The widely used encryption of network traffic poses a great challenge to anomaly detection.
Currently, the supervised and semi-supervised solutions suffer from the problems of noisy …
Currently, the supervised and semi-supervised solutions suffer from the problems of noisy …
Encrypted malicious traffic detection based on ensemble learning
F **ao, F Yang, S Chen, J Yang - … , CSS 2021, Virtual Event, November 9 …, 2022 - Springer
Nowadays, network traffic detection plays a very important role in protecting cyberspace
security, and more and more applications realize data privacy protection through encryption …
security, and more and more applications realize data privacy protection through encryption …
Online and automatic identification of encryption network behaviors in big data environment
Z Hejun, Z Liehuang - Concurrency and Computation: Practice …, 2019 - Wiley Online Library
To handle the difficulty in identifying encrypted network traffic in big data environment, a fast
and online identification method for encryption network behaviors was proposed. Twitter …
and online identification method for encryption network behaviors was proposed. Twitter …
Encrypted Malicious Traffic Detection
F **ao¹, F Yang, S Chen, J Yang - Cyberspace Safety and …, 2022 - books.google.com
Nowadays, network traffic detection plays a very important role in protecting cyberspace
security, and more and more applications realize data privacy protection through encryption …
security, and more and more applications realize data privacy protection through encryption …
[PDF][PDF] 基于子空间聚类的网络流量分类方法
**丹丹， 田春伟， **佰洋， 孙广路， 康健 - 哈尔滨理工大学学报, 2015 - researchgate.net
应用层网络流量分类技术对流量控制与管理等研究具有重要意义. 针对传统的基于有监督机器
学**的分类方法对所有应用程序使用相同的特征, 使得某些特征对一种或几种应用类型有区分性 …
学**的分类方法对所有应用程序使用相同的特征, 使得某些特征对一种或几种应用类型有区分性 …
Classificação de tráfego distribuída: construindo uma arquitetura baseada em redes virtualizadas
PG LOPES JÚNIOR - 2017 - bdtd.ibict.br
Prover um gerenciamento eficiente de uma rede é uma tarefa intimamente ligada ao
conhecimento sobre as informações que compõem o tráfego da rede. Tradicionalmente, um …
conhecimento sobre as informações que compõem o tráfego da rede. Tradicionalmente, um …
Avaliação e otimização de sistemas DPI com base em DFA e priorização de assinaturas
WDB Melo - 2014 - bdtd.ibict.br
Identificação e caracterização de tráfego são atividades relevantes no campo de gerência
de redes. Objetivando uma melhor administração dos recursos disponíveis, gestores de …
de redes. Objetivando uma melhor administração dos recursos disponíveis, gestores de …