Identify Attacking Attempts through Logging on Websites and Database Systems by Machine Learning

  • Authors

    • Hasan Jameel Alwan
    • Barakat Saad Ibrahim
    • Ahmed Hamid Shaker
    https://doi.org/10.14419/ijet.v7i3.20.28420
  • machine learning, cognitive computing, data mining, artificial intelligence, pattern recognition.

  • Abstract

    we will focus on the possibility of using and applying multiple technologies of information technology including, bank accounts, pattern recognition, follow_up data, and data mining. Improve the performance of these systems and techniques through new methods of learning and training, and thus improve the performance by reducing the costs of educational sources and the preservation, study and evaluation of the previous results through conversion to machines and machine learning technology.

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  • How to Cite

    Jameel Alwan, H., Saad Ibrahim, B., & Hamid Shaker, A. (2018). Identify Attacking Attempts through Logging on Websites and Database Systems by Machine Learning. International Journal of Engineering & Technology, 7(3.20), 932-934. https://doi.org/10.14419/ijet.v7i3.20.28420

    Received date: 2019-03-15

    Accepted date: 2019-03-15