The traditional perimeter intrusion detection system will be faced more challenges in the new era, such as high-accuracy positioning, low energy dependence, high environmental robustness and so on. This paper introduces a new type of artificial intelligence intrusion detection technology. The RF sensor chip is embedded in the detection cable, and the radio frequency electromagnetic environment is formed in space through the sending and receiving of radio frequency signal, which is used to sense the surrounding environment to detect electromagnetic field. Using advanced space-time signal processing technology and machine learning technology, the influence of environmental interference on the system is effectively eliminated, and the intrusion detection system based on artificial intelligence algorithm has lower false alarm rate and higher environmental robustness.


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    Titel :

    Application and optimization of intrusion detection system based on Artificial Intelligence


    Beteiligte:
    Zhu, Kaidi (Autor:in) / Wu, Xiangwen (Autor:in) / Yu, Sun (Autor:in) / Huo, Da (Autor:in) / Li, Rui (Autor:in) / Pei, Xikai (Autor:in)


    Erscheinungsdatum :

    14.10.2020


    Format / Umfang :

    447850 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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