In this paper, we propose the Self-Attention based Flow Sequence Network (SAFSN), an end-to-end encrypted traf-fic classification model. We employ both the ...
Abstract—Network traffic classification is the foundation of many network security services. As the widespread use of encrypted protocols makes packet ...
In this paper, we propose the Self-Attention based Flow Sequence Network (SAFSN), an end-to-end encrypted traf-fic classification model. We employ both the ...
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What is an attention neural network?
The attention network was designed to identify the highest correlations amongst words within a sentence, assuming that it has learned those patterns from the training corpus. This correlation is captured in neuronal weights through backpropagation, either from self-supervised pretraining or supervised fine-tuning.
What is the network traffic classification model?
These models can automatically identify and classify new traffic. Common algorithms used for this purpose include decision trees, support vector machines (SVM), and Naive Bayes classifiers. They use packet features such as source and destination IP addresses, packet length, and timestamps for classification.
Jul 12, 2023
In this algorithm, Multiple classification tasks were established, including duration length, bandwidth size, and business traffic category. The first two serve ...
This is the first application of an end-to-end deep learning model in the field of encrypted traffic classification. The team processed raw network flows at ...
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This work is based on a dataset [13] collected by monitoring Domain Name System (DNS) traces from the application layer. A method proposed in [14] employs ...
Aug 18, 2020 · ABSTRACT. Network traffic classification categorizes traffic classes based on protocols (e.g., HTTP or DNS) or applications (e.g., Face-.
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SAFSN: A Self-Attention Based Neural Network for Encrypted Mobile Traffic Classification.
Jul 12, 2023 · This paper proposes an end-to-end representation learning model which can automatically classify application software and encrypted network ...
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May 12, 2024 · The application of deep learning technology in encrypted traffic classification significantly improves the accuracy of models. This study ...
Missing: SAFSN: | Show results with:SAFSN: