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29 та иш

Иш: Hybrid Deep Learning for Intrusion Detection in IoT Networks Using CNNs, Bigrus, Attention Mechanisms, and Advanced Binary Snake Optimizer (BSO) Techniques

  1. Securing IoT devices with zero day intrusion detection system using binary snake optimization and attention based bidirectional gated recurrent classifier

    Ali Saeed Almuflih, Ilyоs Abdullayev, Sergey Bakhvalov +4

    МақолаNetwork Security and Intrusion DetectionScientific Reports20249 иқтибос
    ABI

  2. Network Intrusion Detection for IoT Security Based on Learning Techniques

    Nadia Chaabouni, Mohamed Mosbah, Akka Zemmari +2

    Мақола20193 иқтибос
    ABI

  3. Empirical Analysis of Data Streaming and Batch Learning Models for Network Intrusion Detection

    Kayode S. Adewole, Taofeekat Tosin Salau-Ibrahim, Agbotiname Lucky Imoize +6

    Мақола20222 иқтибос
    ABI

  4. Machine learning and deep learning methods for intrusion detection systems: recent developments and challenges

    Geeta Kocher, Gulshan Kumar

    Мақола20212 иқтибос
    ABI

  5. Composition of Hybrid Deep Learning Model and Feature Optimization for Intrusion Detection System

    Azriel Henry, Sunil Gautam, Samrat Khanna +5

    Мақола20232 иқтибос
    ABI

  6. A novel hybrid ensemble learning for anomaly detection in industrial sensor networks and SCADA systems for smart city infrastructures

    Yakub Kayode Saheed, Oluwadamilare Harazeem Abdulganiyu, Taha Ait Tchakoucht

    Мақола20232 иқтибос
    ABI

  7. A hybrid CNN-LSTM approach for intelligent cyber intrusion detection system

    Sukhvinder Singh Bamber, Aditya Vardhan Reddy Katkuri, S. C. Sharma +1

    Мақола20242 иқтибос
    ABI

  8. A New Ensemble-Based Intrusion Detection System for Internet of Things

    Adeel Abbas, Muazzam A. Khan, Shahid Latif +3

    Мақола20212 иқтибос
    ABI

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