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5 ta ish

Ish: A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection

  1. Cybersecurity Challenges in the Expanding Digital Economy

    Zоkir Mamadiyarоv, Shoh Jakhon Khamdamov, Rano Nazarova +4

    MaqolaInformation and Cyber Security20240 iqtibos
    ABI

  2. 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

  3. Predictive cyber risk management using artificial intelligence: Implications for audit and compliance

    Aajaz Ahmad Hajam, Jyoti Meshram, Umme Sania +3

    MaqolaInformation and Cyber SecurityEDPACS20260 iqtibos
    ABI

  4. 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

  5. Integration of Artificial Intelligence in Cybersecurity: Predictive Framework for Real-Time Threat Detection and Response

    Tolibjon Mirzayev

    BobNetwork Security and Intrusion DetectionLecture notes in networks and systems20260 iqtibos
    ABI