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A Survey on Network Traffic Identification

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Artificial Intelligence and Security (ICAIS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11635))

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Abstract

With the rapid development of the Internet, the scale of Internet users has been expanding. At the same time, various mobile phone applications have emerged in an endless stream. While providing users with a variety of services, it also leads to the difficulty of user identification. All those things bring new challenges to traffic identification. Based on the importance of Internet traffic identification for Internet management and security, this paper describes the classification methods and problems faced by Internet traffic identification. Moreover, current work about user-related and application-related traffic identification methods is summarized and analyzed. At the end of this article, we will discuss the future research prospects of traffic identification and summarize the content of the article.

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Acknowledgement

This work was supported by National Key Research & Development Plan of China under Grant 2016QY05X1000, National Natural Science Foundation of China under Grant No. 61771166, CERNET Innovation Project under Grant  No. NGII20170101, and Dongguan Innovative Research Team Program under Grant No. 201636000100038.

Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

    Qiuping Zhu, Dong Li, Yi Xin & Xiangzhan Yu

  2. Institute of Electronic and Information Engineering of UESTC in Guangdong, Dongguan, China

    Dong Li & Guocai Mu

Authors
  1. Qiuping Zhu
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  2. Dong Li
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  3. Yi Xin
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  4. Xiangzhan Yu
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  5. Guocai Mu
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Corresponding author

Correspondence to Qiuping Zhu .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Zhaoqing Pan

  3. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

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Zhu, Q., Li, D., Xin, Y., Yu, X., Mu, G. (2019). A Survey on Network Traffic Identification. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11635. Springer, Cham. https://doi.org/10.1007/978-3-030-24268-8_9

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  • DOI: https://doi.org/10.1007/978-3-030-24268-8_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24267-1

  • Online ISBN: 978-3-030-24268-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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