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Network Traffic Generator Based on Distributed Agent for Large-Scale Network Emulation Environment

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Intelligence Science and Big Data Engineering (IScIDE 2018)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11266))

Abstract

Network traffic generation is one of the key technologies used to construct a network emulation environment for research into network protocols, applications and security mechanisms. In this paper, a new network traffic generator called NTGEDA is proposed that can generate network layer, application layer and user layer traffic on demand based on distributed agent architecture and the multi-level traffic model. The generator is evaluated by means of implementation. Experimental results illustrate that it is efficient in the network emulation environment for network protocols and security research.

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Authors and Affiliations

  1. National Key Laboratory of Science and Technology on Information System Security, Beijing, China

    Xiao-hui Kuang, Jin Li & Fei Xu

Authors
  1. Xiao-hui Kuang
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  2. Jin Li
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  3. Fei Xu
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Corresponding author

Correspondence to Jin Li .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Yuxin Peng

  2. Shanghai Jiao Tong University, Shanghai, China

    Kai Yu

  3. Tsinghua University, Beijing, China

    Jiwen Lu

  4. Central China Normal University, Wuhan, China

    Xingpeng Jiang

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Kuang, Xh., Li, J., Xu, F. (2018). Network Traffic Generator Based on Distributed Agent for Large-Scale Network Emulation Environment. In: Peng, Y., Yu, K., Lu, J., Jiang, X. (eds) Intelligence Science and Big Data Engineering. IScIDE 2018. Lecture Notes in Computer Science(), vol 11266. Springer, Cham. https://doi.org/10.1007/978-3-030-02698-1_7

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  • DOI: https://doi.org/10.1007/978-3-030-02698-1_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02697-4

  • Online ISBN: 978-3-030-02698-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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