基于VPN通道下的加密流量分类算法

doi:10.3969/j.issn.0255-8297.2023.04.009

Abstract

Abstract: This paper proposes a new encrypted traffic classification algorithm based on a variant ResNet18 network to improve network management and strengthen network security supervision. A three-channel image construction is designed to address the strong encryption and high opacity characteristics of traffic in virtual private network (VPN) channels. The proposed method successfully identifies different apps’ traffic in different VPN channels, as validated using popular apps’ traffic collected from real VPN channels. The algorithm achieves 98.1% and 96.0% classification accuracy on public and self-collected datasets, respectively. Experimental results demonstrate the algorithm’s universality and practical value.

Key words: deep learning, encrypted traffic, virtual private network (VPN), residual network

CLC Number:

TP309

WEI Jieling, MA Xiuli, JIN Yanliang, WANG Rui. Encrypted Traffic Classification Algorithm Based on VPN Channel[J]. Journal of Applied Sciences, 2023, 41(4): 646-656.

References

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Encrypted Traffic Classification Algorithm Based on VPN Channel

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