ET-MobileNet: a lightweight encryption traffic classification method

Peixuan Zhou

doi:10.1117/12.3038159

22 August 2024 ET-MobileNet: a lightweight encryption traffic classification method

Peixuan Zhou

Proceedings Volume 13228, Fifth International Conference on Computer Communication and Network Security (CCNS 2024); 132281X (2024) https://doi.org/10.1117/12.3038159
Event: Fifth International Conference on Computer Communication and Network Security (CCNS 2024), 2024, Guangzhou, China

Abstract

As encryption technologies have become pervasive in safeguarding user privacy, encrypted traffic now constitutes a significant portion of network traffic, posing challenges to conventional rule-based classification methods due to the randomized nature of encrypted contents. In this paper, we deploy the MobileNet within the realm of encrypted traffic classification and propose ET-MobileNet. ET-MobileNet is a lightweight model that specifically designed for devices with limited computational resources. It extracts the packet length sequence and packet arrival interval sequence as features from the session flow, and reshape them into a two-channel picture for input. Our experiments on the ISCXTor2016 dataset encompassing 13 applications indicate that ET-MobileNet can achieve remarkable results while maintaining a low computational cost.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Peixuan Zhou "ET-MobileNet: a lightweight encryption traffic classification method", Proc. SPIE 13228, Fifth International Conference on Computer Communication and Network Security (CCNS 2024), 132281X (22 August 2024); https://doi.org/10.1117/12.3038159

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