Výsledky vyhledávání - "improved conditional variational autoencoder"

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  1. 1

    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)
    “…Intrusion detection systems play an important role in preventing security threats and protecting networks from attacks. However, with the emergence of unknown…”
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    Journal Article
  2. 2

    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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