@inproceedings{4d77513c3d144a62ad52eb13abceba36,
title = "Passive TCP identification for wired and wireless networks: A long-short term memory approach",
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.",
keywords = "Congestion control, Identification, LSTM, TCP",
author = "Xiaoyu Chen and Shugong Xu and Xudong Chen and Shan Cao and Shunqing Zhang and Yanzan Sun",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 15th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2019 ; Conference date: 24-06-2019 Through 28-06-2019",
year = "2019",
month = jun,
doi = "10.1109/IWCMC.2019.8766577",
language = "English",
series = "2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "717--722",
booktitle = "2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019",
}