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9 ta ish

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

  1. A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

    Chuanlong Yin, Yuefei Zhu, Jinlong Fei +1

    Maqola20179 iqtibos
    ABI

  2. The WEKA data mining software

    Mark Hall, Eibe Frank, Geoffrey Holmes +3

    Maqola20097 iqtibos
    ABI

  3. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection

    Anna L. Buczak, Erhan Guven

    Maqola20155 iqtibos
    ABI

  4. Outside the Closed World: On Using Machine Learning for Network Intrusion Detection

    Robin Sommer, Vern Paxson

    Maqola20104 iqtibos
    ABI

  5. A detailed analysis of the KDD CUP 99 data set

    Mahbod Tavallaee, Ebrahim Bagheri, Wei Lu +1

    Maqola20093 iqtibos
    ABI

  6. A novel hybrid intrusion detection method integrating anomaly detection with misuse detection

    Gisung Kim, Seung Min Lee, Se Hoon Kim

    Maqola20133 iqtibos
    ABI

  7. Machine Learning DDoS Detection for Consumer Internet of Things Devices

    Rohan Doshi, Noah Apthorpe, Nick Feamster

    Maqola20182 iqtibos
    ABI

  8. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

  9. Sarlavhasiz

    Boshqa1 iqtibos
    ABI