Passive TCP identification for wired and wireless networks: A long-short term memory approach

Xiaoyu Chen, Shugong Xu, Xudong Chen, Shan Cao, Shunqing Zhang, Yanzan Sun

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

5 Citations (Scopus)

Abstract

Transmission control protocol (TCP) congestion control is one of the key techniques to improve network performance. TCP congestion control algorithm identification (TCP identification) can be used to significantly improve network efficiency. Existing TCP identification methods can only be applied to limited number of TCP congestion control algorithms and focus on wired networks. In this paper, we proposed a machine learning based passive TCP identification method for wired and wireless networks. After comparing among three typical machine learning models, we concluded that the 4-layers Long Short Term Memory (LSTM) model achieves the best identification accuracy. Our approach achieves better than 98% accuracy in wired and wireless networks and works for newly proposed TCP congestion control algorithms.

Original languageEnglish
Title of host publication2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages717-722
Number of pages6
ISBN (Electronic)9781538677476
DOIs
Publication statusPublished - Jun 2019
Externally publishedYes
Event15th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2019 - Tangier, Morocco
Duration: 24 Jun 201928 Jun 2019

Publication series

Name2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019

Conference

Conference15th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2019
Country/TerritoryMorocco
CityTangier
Period24/06/1928/06/19

Keywords

  • Congestion control
  • Identification
  • LSTM
  • TCP

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