Issue |
Security and Safety
Volume 4, 2025
Security and Safety in Network Simulation and Evaluation
|
|
---|---|---|
Article Number | 2024024 | |
Number of page(s) | 21 | |
Section | Information Network | |
DOI | https://doi.org/10.1051/sands/2024024 | |
Published online | 05 March 2025 |
Research Article
K8s-enhanced lightweight simulation method for the Tor network
1
Beijing University of Posts and Telecommunications, Beijing, 102206, China
2
Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100085, China
* Corresponding author (email: shijinqiao@bupt.edu.cn)
Received:
8
September
2024
Revised:
25
October
2024
Accepted:
31
December
2024
Criminals exploit the robust anonymity afforded by Tor for illicit purposes, prompting heightened interest among researchers in de-anonymization attacks on the Tor network. The execution of experiments on de-anonymization attacks within a real Tor network presents considerable challenges, hence the necessity for a simulation environment. However, existing methods for simulating the Tor network are inadequate regarding realism, flexibility, and scalability, with some being prohibitively expensive. In this paper, we develop a lightweight and scalable Tor network simulation environment based on Kubernetes (K8s), employing Docker containers to simulate Tor relays. The results demonstrate that a network of up to a thousand Tor relays can be simulated using just four standard hosts. Furthermore, two de-anonymization attack experiments were conducted within this simulated environment, which exhibited high levels of realism and flexibility. Finally, a hybrid networking approach combining multi-granularity relays was explored to enhance further the balance between realism and cost in Tor network simulations.
Key words: Tor / Network simulation / De-anonymization attacks
Citation: Huang W, Wu H and Li Z et al. K8s-enhanced lightweight simulation method for the Tor network. Security and Safety 2025; 4: 2024024. https://doi.org/10.1051/sands/2024024
© The Author(s) 2025. Published by EDP Sciences and China Science Publishing & Media Ltd.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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