Article Details

Title · Authors · Abstract · Keywords · DOI · References

Comparative Study and Simulation of Three NAT Hairpin Paradigms

JIN Haifeng

(Jiangyin Polytechnic College, Wuxi 214405, China)

Section:Network and Information Security · Vol. 2026, Issue 3 · Pages:178-182,189 · 2096-4706(2026)03-0178-06 · CLC number:TP393.08 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2026.03.033

Abstract

NAT Hairpin is a key application scenario of NAT technology, which solves the problem of internal hosts accessing internal servers through public addresses. This paper analyzes the working mechanisms of three mainstream hairpin paradigms, including NAT Hairpin, bidirectional NAT, and NAT Policy, through simulation experiments. It provides core configurations and testing schemes, and systematically compares their performance characteristics. The results show that in terms of performance, NAT Hairpin has the lowest latency, followed by bidirectional NAT, and NAT Policy has the highest latency due to large policy matching overhead. In terms of configuration and security, NAT Policy supports multi-dimensional policy control and has the strongest flexibility; bidirectional NAT improves security through two-way conversion; NAT Hairpin is easy to configure but is limited by device compatibility. The research results provide a theoretical reference and practical guidance for the selection of NAT Hairpin schemes in different network environments.

Keywords

network address translation; simulation experiment; NAT policy; NAT Hairpin

References

  1. [1] Sun Guangyi, Jiao Jian Simulation Design and Implementation of NAT Technology Based on GNS3 [J]. Journal of Northwest Minzu University: Natural Science Edition, 2021, 42 (2): 18-26
  2. [2] Wu Jianli, Yang Hua, Zhang Liang Research and Application Implementation of Cross Campus Network IPv6 Security Based on HCL Simulation [J]. Journal of Hangzhou Normal University: Natural Science Edition, 2023, 22 (3): 319-328
  3. [3] Wang Meng, Zhi Guangyu A typical network architecture simulation experiment based on HCL simulation platform [J]. Network Security Technology and Applications, 2025 (6): 4-7
  4. [4] Li Yong Design and Implementation of NAT Simulation Experiment [J]. Experimental Technology and Management, 2018, 35 (4): 132-135
  5. [5] Jiang Zhengen Design and Simulation of Comprehensive Training for Computer Network Courses [J]. Modern Information Technology, 2024, 8 (20): 185-190
  6. [6] Gan Weimin, Zhou Hua Network Interconnection Technology and Training: Task Micro Course Edition: Huawei Edition [M]. Beijing: People's Posts and Telecommunications Press: 2024
  7. [7] Wang Xiaoling NAT experimental design and result analysis based on simulation technology [J]. Modern Information Technology, 2021, 5 (11): 1-5
  8. [8] Zhang Ce Reinforcement Learning Trapping Technology Based on Attack Behavior Detection [D]. Beijing: Beijing University of Posts and Telecommunications, 2025
  9. [9] Zhu Fang Design and Implementation of Embedded Web Remote Monitoring Real time System [J]. Information Technology and Informatization, 2023 (3): 124-127
  10. [10] Zhang Bin, Yang Shutu, Ji Dongcen, etc Measurement and Analysis of Domain Access Patterns Based on Large DNS Recursive Services [J/OL]. Journal of Software, 2025:1-18 [2022-07-21] https://doi.org/10.13328/j.cnki.jos.007429.

Funding

2024 Jiangsu University "Blue Project" (Su Teacher's Letter [2024] No. 14)

About the authors

Jin Haifeng (1979-), male, Han nationality, from Jiangyin, Jiangsu, associate professor, master's degree, research direction: vocational education and computer network practical teaching.