Identification of encrypted and malicious network traffic based on one-dimensional convolutional neural network

Y Zhou, H Shi, Y Zhao, W Ding, J Han, H Sun… - Journal of Cloud …, 2023 - Springer
The rapid advancement of the Internet has brought a exponential growth in network traffic. At
present, devices deployed at edge nodes process huge amount of data, extract key features …

Detection of Encrypted and Malicious Network Traffic using Deep Learning

PCS Reddy, PS Muller, SN Koka… - 2023 International …, 2023 - ieeexplore.ieee.org
Network traffic has increased by a factor of ten due to the meteoric rise of the Internet. The
prevalence of encryption methods makes it difficult to identify malicious traffic. Reason …

Encrypted network traffic identification based on 2d-cnn model

Y Zhou, H Shi, Y Zhao, W Gao… - 2021 22nd Asia-Pacific …, 2021 - ieeexplore.ieee.org
Rapid development of the Internet has enabled explosive growth of various network traffic.
How to classify and identify different categories of network traffic among these huge network …

Deep learning-based efficient analysis for encrypted traffic

X Yan - Applied Sciences, 2023 - mdpi.com
Featured Application Analysis for encrypted traffic. Abstract To safeguard user privacy,
critical Internet traffic is often transmitted using encryption. While encryption is crucial for …

Sessionvideo: A novel approach for encrypted traffic classification via 3D-CNN model

H Wang, T Xu, J Yang, L Wu… - 2022 23rd Asia-Pacific …, 2022 - ieeexplore.ieee.org
Today encrypted traffic has been used widely on the internet, such as HTTPS and SSH.
Network traffic classification plays an important role in network resource management and …

GCN‐ETA: High‐Efficiency Encrypted Malicious Traffic Detection

J Zheng, Z Zeng, T Feng - Security and Communication …, 2022 - Wiley Online Library
Encrypted network traffic is the principal foundation of secure network communication, and it
can help ensure the privacy and integrity of confidential information. However, it hides the …

Malicious encrypted traffic identification based on four-tuple feature and deep learning

K Li, B Cui - Innovative Mobile and Internet Services in Ubiquitous …, 2022 - Springer
With the increasing popularity of traffic encryption protocols such as SSL/TLS, attacks based
on encrypted traffic are more and more rampant, so does the need to inspect all SSL traffic …

A deep learning‐based framework to identify and characterise heterogeneous secure network traffic

FU Islam, G Liu, W Liu, QM Haq - IET information Security, 2023 - Wiley Online Library
The evergrowing diversity of encrypted and anonymous network traffic makes network
management more formidable to manage the network traffic. An intelligent system is …

[Retracted] CLD‐Net: A Network Combining CNN and LSTM for Internet Encrypted Traffic Classification

X Hu, C Gu, F Wei - Security and Communication Networks, 2021 - Wiley Online Library
The development of the Internet has led to the complexity of network encrypted traffic.
Identifying the specific classes of network encryption traffic is an important part of …

TEST: An end-to-end network traffic examination and identification framework based on spatio-temporal features extraction

Y Zeng, Z Qi, W Chen, Y Huang, X Zheng… - arXiv preprint arXiv …, 2019 - arxiv.org
With more encrypted network traffic gets involved in the Internet, how to effectively identify
network traffic has become a top priority in the field. Accurate identification of the network …