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Complex communication application identification and private network mining technology under a large-scale network

  • S.I. : SPIoT 2020
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Abstract

The emergence of the Internet has brought great convenience to people, changing the way of life in many fields, such as food, clothing, housing and transportation. With the increasing popularity of the Internet and the rapid development of network technology, the Internet has become the main communication tool and information sharing channel for people. Network users bring not only convenience but also great challenges to network. The purpose is to study the practicability of statistical protocol recognition methods in network environment and to develop new solutions based on the existing protocol recognition methods. Based on the method step by step to study the identification of a complex application (CA) problems, usability issues, put forward the solution, and the solution of complex application, puts forward a set of perfect CA identification and analysis framework, greatly improved the accuracy and efficiency of complex application, to more than 80%. While promoting the development of recognition technology, it solves problems and finally implements a recognition and analysis system for complex applications. The complex private network mining technology proposed in this paper solves many difficulties and challenges of CA identification and analysis in network environment and can effectively improve the network management capability of network operators.

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Acknowledgements

This work was supported by the Key Project of Hunan Provincial Education Department (No. 20A457) and the Natural Science Foundation of Hunan Province, China (No. 2017JJ2237). Author wishes to express gratitude to the Aid Program for Science and Technology Innovative Research Team in Higher Educational Institution of Hunan Province. This work was supported by the Special Projects in Key Areas (New Generation of Information Technology) of Colleges and Universities in Guangdong Province (No. 2020ZDZX3046), the Characteristics innovation project of colleges and universities of Guangdong Province (Natural Science, No. 2019KTSCX235) and the Higher Education of the Ministry of Education of the People’s Republic of China has the first batch of “industry -academic cooperation, collaborative education” projects in 2019 (No. 201901070016).

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Authors and Affiliations

  1. Provincial Key Laboratory of Informational Service for Rural Area of Southwestern Hunan, Shaoyang University, Shaoyang, 422000, Hunan, People’s Republic of China

    Chengshun Huang

  2. College of Information Engineering, Shaoyang University, Shaoyang, 422000, Hunan, People’s Republic of China

    Chengshun Huang

  3. School of Information Science and Technology, South China Business College, Guangdong University of Foreign Studies, Guangzhou, 510545, Guangdong, People’s Republic of China

    Zijiang Zhu

  4. Institute of Intelligent Information Processing, South China Business College, Guangdong University of Foreign Studies, Guangzhou, 510545, Guangdong, People’s Republic of China

    Zijiang Zhu

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  1. Chengshun Huang
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Correspondence to Zijiang Zhu.

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Huang, C., Zhu, Z. Complex communication application identification and private network mining technology under a large-scale network. Neural Comput & Applic 33, 3871–3879 (2021). https://doi.org/10.1007/s00521-020-05442-0

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