Výsledky vyhledávání - "improved conditional variational autoencoder (ICVAE)"

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  1. 1

    Anomaly based Intrusion Detection to Enhance IoT Devices Security using LSTM and Radial Basis Function Approach Autor Narayana, G. V. L, G, Sharmila, A, Mohaideen, Sathya, S., Vennila, C., Nishant, Neerav

    Vydáno: IEEE 16.05.2025
    “…The growing prevalence of IoT devices has rendered their security a paramount issue. Intrusion detection is essential for protecting IoT systems from potential…”
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  2. 2

    Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network Autor Yang, Yanqing, Zheng, Kangfeng, Wu, Chunhua, Yang, Yixian

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 02.06.2019
    Vydáno v Sensors (Basel, Switzerland) (02.06.2019)
    “… We propose a novel intrusion detection model that combines an improved conditional variational AutoEncoder (ICVAE…”
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  3. 3

    On IoT intrusion detection based on data augmentation for enhancing learning on unbalanced samples Autor Zhang, Ying, Liu, Qiang

    ISSN: 0167-739X, 1872-7115
    Vydáno: Elsevier B.V 01.08.2022
    Vydáno v Future generation computer systems (01.08.2022)
    “… on Improved Conditional Variational Autoencoder (ICVAE) and Borderline Synthetic Minority Oversampling Technique (BSM), called ICVAE-BSM…”
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