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6 ta ish

Ish: Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization

  1. Using Algorithmic Modeling to Control User Access Based on Functioning Table

    Anvar Kabulov, Islambek Saymanov, Inomjon Yarashov +1

    MaqolaAdvanced Computational Techniques in Science and Engineering2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)202226 iqtibos
    ABI

  2. Algorithmic Analysis of the System Based on the Functioning Table and Information Security

    Anvar Kabulov, Inomjon Yarashov, Alisher Otakhonov

    MaqolaAdvanced Data Processing Techniques2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)202219 iqtibos
    ABI

  3. Explainable Lightweight Block Attention Module Framework for Network-Based IoT Attack Detection

    Furkat Safarov, Mainak Basak, Rashid Nasimov +2

    MaqolaNetwork Security and Intrusion DetectionFuture Internet20234 iqtibos
    ABI

  4. Estimates of the Complexity of Detecting Types of DDOS Attacks

    Nikolay A. Ignatev, Erkin R. Navruzov

    MaqolaAdvanced Data Processing TechniquesInternational Journal of Computing20220 iqtibos
    ABI

  5. Architecture of a Prototype System for Network Traffic Anomaly Detection Based on Machine Learning and Visual Analytics

    Xiaoming Wang, Islambek Saymanov, Anvar Kabulov +1

    MaqolaNetwork Security and Intrusion DetectionDoklady BGUIR20250 iqtibos
    ABI

  6. Lightweight Intrusion Detection Systems for IoT–Edge Environments: A PRISMA-ScR Systematic Review of Deployability Evidence and a Unified Assessment Framework

    Md. Moinul Islam, Umme Salsabil, Mekhriddin Nurmamatov +1

    MaqolaNetwork Security and Intrusion DetectionFuture Internet20260 iqtibos
    ABI