Encrypted Network Traffic Classification Usisng Deep Learning Method

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Banihashemi Seyedeh Bahareh; Aktharkavan Ehsan

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2022 | Issue:8

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Title

Encrypted Network Traffic Classification Usisng Deep Learning Method

Author(s)

Banihashemi Seyedeh Bahareh | Aktharkavan Ehsan

Keywords

Network Traffic Classification

Deep Learning

Encrypted Traffic

Deep Neural Network

Abstract

With growing use of internet and online applications, Network Traffic Classification could be much more useful nowadays, because managing network services and quality assurance, two key points in network structure, could be done easily using this kind of classification. Different methods are used for this task, including port-based classification, machine learning and some other algorithms that each of them had its own advantages and disadvantages. For eliminating such disadvantages, Deep Learning methods are new ways for doing this task due to the power and excellent performance they showed. Furthermore, most of the work done in this field are using non-Encrypted Traffic or Encrypted Traffic in mobile networks, but as we know, privacy of data is very important these days. In this article, with the use of Deep Learning neural network, Encrypted Traffic of non-mobile data is being classified. For this purpose, we use the UNB ISCX VPN-non-VPN dataset that includes encrypted and unEncrypted Traffic of different applications. Then we design an algorithm based on DNN that could classify these traffics effectively. Performance of the model was evaluated and 0. 86 accuracy and 0. 78 f1-score showed that model works well compared to other algorithms used in this area.

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APA: Copy

Banihashemi, Seyedeh Bahareh, & Aktharkavan, Ehsan. (2022). Encrypted Network Traffic Classification Usisng Deep Learning Method. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949615/en

Vancouver: Copy

Banihashemi Seyedeh Bahareh, Aktharkavan Ehsan. Encrypted Network Traffic Classification Usisng Deep Learning Method. 2022. Available from: https://sid.ir/paper/949615/en

IEEE: Copy

Seyedeh Bahareh Banihashemi, and Ehsan Aktharkavan, “Encrypted Network Traffic Classification Usisng Deep Learning Method,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2022, [Online]. Available: https://sid.ir/paper/949615/en

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