Can I read Snowflake Anonymous Network Traffic Identification on EtoBox?

Snowflake Anonymous Network Traffic Identification by Yuying Wang; Guilong Yang; Dawei Xu; Cheng Dai; Tianxin Chen; Yunfan Yang is a book available to read on EtoBox.

What is Snowflake Anonymous Network Traffic Identification about?

Tor, as a widely used anonymous communication system, is frequently employed by some users for illegal activities. Snowflake server as a plugin that enables users to connecting to the Tor network, allowing users to evade surveillance by connecting to the Tor network through it. Since Snowflake hides user traffic within regular WebRTC, it becomes challenging for authorities to differentiate and regulate, posing significant difficulties in monitoring efforts. To address these issues, this paper proposes a feature extraction method based on traffic statistical characteristics and a Snowflake traffic identification model based on MLP. We collected traffic datasets in Docker environment, extracted variablelength DTLS handshake sequences, and employed the feature extraction method to extract their statistical characteristics, including packet length, session duration, and average time between sending two packets, among other features. The MLP-based Snowflake traffic identification model can determine whether the traffic belongs to the target traffic based on these features. Moreover, this method can accurately identify traffic even when the traffic fields change. Experimental results dem

Author

Yuying Wang; Guilong Yang; Dawei Xu; Cheng Dai; Tianxin Chen; Yunfan Yang

Publisher

Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd

Published

2024

Language

EN

ISBN

9789819992478

Subjects

Engineering, Computer Science, Stem