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Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part I

Research Article

Design of Abnormal State Monitoring System for Multi-channel Transmission of Social Network Information

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  • @INPROCEEDINGS{10.1007/978-3-030-94551-0_32,
        author={Jun Li and Hao-ding Murong and Jun Xing},
        title={Design of Abnormal State Monitoring System for Multi-channel Transmission of Social Network Information},
        proceedings={Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2022},
        month={1},
        keywords={Social network Information multiplexing Abnormal state monitoring},
        doi={10.1007/978-3-030-94551-0_32}
    }
    
  • Jun Li
    Hao-ding Murong
    Jun Xing
    Year: 2022
    Design of Abnormal State Monitoring System for Multi-channel Transmission of Social Network Information
    ADHIP
    Springer
    DOI: 10.1007/978-3-030-94551-0_32
Jun Li1,*, Hao-ding Murong2, Jun Xing1
  • 1: Shenzhen Academy of Inspection and Quarantine
  • 2: Shenzhen Customs Information Center
*Contact email: zhengxiuli0831@aliyun.com

Abstract

The security of social network communication is the most serious problem at present, because of the error of multiplex transmission, the risk of application security and the limited ability of most social network terminals. Based on this, the abnormal state monitoring system of social network information multiplex transmission process is optimized and designed. Through improving the system hardware and software functions, the accurate detection of multiplex transmission data is carried out. Finally, the experiment proves that the abnormal state monitoring system of social network information multiplex transmission process has higher monitoring accuracy and fully meets the research requirements.

Keywords
Social network Information multiplexing Abnormal state monitoring
Published
2022-01-18
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-94551-0_32
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