Study of A Novel Predictable Poisson Method for Traversing Symmetric NAT

DOI

10.2991/iccia-19.2019.49How to use a DOI?

Keywords

Symmetric NAT Traversal; P2P; Poisson Process; Port Prediction; UDP.

Abstract

Network Address Translators (NATs) traversal techniques are applied in Peer-to-Peer (P2P) communication to improve network quality of service. The existing solutions to traverse NATs are including STUN, TURN and ICE. However, these solutions relay packets instead of traversing symmetric NATs directly. To solve these problems, this paper proposes a novel Predictable Poisson Method (PPM). The proposed Network Traffic Model (NTM) calculates the parameter of the Poisson process and the proposed Expected Value Method (EVM) and Poisson Sampling Method (PSM) are used to predict ports allocated by NATs. The proposed NAT Traversal Algorithm (NAT-TA) is designed to traverse symmetric NATs. Experimental results show the proposed EVM and PSM perform better on precision and efficiency than traditional methods.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jiayu Huang
AU  - Bailing Wang
AU  - Chunle Fu
AU  - Xuehuai Zhang
AU  - Qinggang He
AU  - Yang Liu
PY  - 2019/07
DA  - 2019/07
TI  - Study of A Novel Predictable Poisson Method for Traversing Symmetric NAT
BT  - Proceedings of the 3rd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2019)
PB  - Atlantis Press
SP  - 322
EP  - 327
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-19.2019.49
DO  - 10.2991/iccia-19.2019.49
ID  - Huang2019/07
ER  -