This paper studies the attack behavior in multimode fiber networks, and establishes a mathematical statistical analysis model of the attack behavior with transfer learning ability. The big data fusion analysis of multi-mode fiber network intrusion based on transfer learning is carried out by using fuzzy information fusion method, and the statistical characteristics of network intrusion are constructed. The multi-mode FBN multi-source heterogeneous data fusion technology based on decision feedback adjustment is studied. In this paper, the extraction method of correlation feature of multimode optical fiber network is studied. The frequency domain analysis technique is used to match the characteristics of multi-mode input signals. Through the simulation of power consumption simulation software Prime Power, it is found that the unprotected circuit can be breached within 1000 energy consumption curves, and the circuit using this design can resist more than 10000 energy consumption curves. Note The security of the AES algorithm engine has been significantly improved.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    The multi-mode FBN multi-source heterogeneous data fusion technology based on AES algorithm


    Beteiligte:
    Li, Yuan (Autor:in) / Yu, Xin (Autor:in)


    Erscheinungsdatum :

    2023-10-11


    Format / Umfang :

    2776470 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Traffic management system based on multi-source heterogeneous data fusion technology

    ZHANG YIBO | Europäisches Patentamt | 2021

    Freier Zugriff

    Risk ship detection method based on multi-source heterogeneous data fusion

    XIA QIHANG / MAO DEHUA | Europäisches Patentamt | 2021

    Freier Zugriff

    Study on Data Fusion Model with Multi-Source Heterogeneous Traffic Data

    Qiu, Feng-cui / Yao, En-jian / Yang, Yang et al. | ASCE | 2011


    Distributed multi-source heterogeneous traffic data fusion method and device

    HE SHUXIAN / CHEN LIN / REN XUEFENG et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Parking space informatization system based on multi-source heterogeneous sensor fusion

    LU YANG / GAO MAOLIN | Europäisches Patentamt | 2023

    Freier Zugriff