Fusion depthwise separable convolution inception lightweight encrypted traffic classification

Zhiwu Xu; Wancheng Wang; Songzheng Zhang

doi:10.1117/12.2681576

1 June 2023 Fusion depthwise separable convolution inception lightweight encrypted traffic classification

Zhiwu Xu, Wancheng Wang, Songzheng Zhang

Proceedings Volume 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023); 1271805 (2023) https://doi.org/10.1117/12.2681576
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 2023, Nanjing, China

Abstract

In this paper, the Inception of lightweight encrypted traffic classification with depthwise separable convolution is proposed. By fusing the depthwise separable convolution on the basis of Inception model, the model reduces the parameters and computation of the model to a large extent without reducing the accuracy. The main motivation of this paper is to reduce the consumption of the network as much as possible, and to develop a model with small computation and high precision. The effectiveness of the proposed method has been verified in the internationally open ISCX VPN-non VPN dataset test experiment. Firstly, the original data were cleaned and converted to transform the encrypted traffic samples into gray maps. Secondly, 1D-CNN and Inception model integrated with depthwise classifiable convolution were used for classification. The experimental results show that the classification accuracy rate, precision rate, recall rate and F1-score are 96.27%, 95.49%, 97.39% and 96.43% respectively for encrypted traffic classified by 12 categories.

Citation Download Citation

Zhiwu Xu, Wancheng Wang, and Songzheng Zhang "Fusion depthwise separable convolution inception lightweight encrypted traffic classification", Proc. SPIE 12718, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2023), 1271805 (1 June 2023); https://doi.org/10.1117/12.2681576

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KEYWORDS

Convolution

Data modeling

Image processing

Data processing

Image segmentation

Data conversion

Feature extraction

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