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Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8–9, 2021, Proceedings, Part I

Research Article

Design of Advance Security Early Warning System for Network Data Based on Artificial Intelligence

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  • @INPROCEEDINGS{10.1007/978-3-030-82562-1_54,
        author={Ya-fei Wang and Wei- na He},
        title={Design of Advance Security Early Warning System for Network Data Based on Artificial Intelligence},
        proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part I},
        proceedings_a={ICMTEL},
        year={2021},
        month={7},
        keywords={Artificial intelligence Network data Advanced security Security early warning Early warning system TP277 Literature Identification Code: A},
        doi={10.1007/978-3-030-82562-1_54}
    }
    
  • Ya-fei Wang
    Wei- na He
    Year: 2021
    Design of Advance Security Early Warning System for Network Data Based on Artificial Intelligence
    ICMTEL
    Springer
    DOI: 10.1007/978-3-030-82562-1_54
Ya-fei Wang1,*, Wei- na He2
  • 1: Information Engineering College, Pingdingshan University
  • 2: Pingdingshan University School of Software
*Contact email: wangyafei54512@yeah.net

Abstract

At present, the design of network data advance security early warning system warning accuracy rate is low, leading to long warning time, poor stability. Based on artificial intelligence, a new advance security warning system for network data is designed. The hardware of the system is composed of power module, acquisition module, driver module, alarm module and display module. The software program is designed according to the hardware structure of the system. The software program includes integrated control main program, temperature collection program, temperature display program and sound and light alarm program. Experimental results show that the network data advance security early warning system based on artificial intelligence can effectively improve the system early warning accuracy, shorten the warning time and improve stability.

Keywords
Artificial intelligence Network data Advanced security Security early warning Early warning system TP277 Literature Identification Code: A
Published
2021-07-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-82562-1_54
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