Classification of Big Data: Machine Learning Problems and Challenges in Network Intrusion Prediction

  • Authors

    • Yasser Mohammad Al-Sharo
    • Ghazi Shakah
    • Mutasem Sh.Alkhaswneh
    • Bajes Zeyad Aljunaeidi
    • Malik Bader Alazzam
    2018-12-09
    https://doi.org/10.14419/ijet.v7i4.36.25381
  • Big Data, machine learning, Hadoop distributed file systems, encroachment discovery.

  • Centre of attraction of paper is on the main complication on classification of Big Data on network encroachment on traffic. It also explains the disputes this system faces that is bestowed by the Big Data difficulties that are correlate with the network interruption forecast. Forecasting of an attainable interruption in a network entails a prolonged accumulation of traffic information or data and being able to get the concept on their features on motion. The constant accumulation in the network of traffic data thereafter ends with Big Data difficulties that as a result of the large amount, change and possessions of Big Data. In order to learn the features of a network, one needs to have the skills in the machine techniques that are always able to capture world skills and knowledge of the traffic to be in order. The properties of Big Data will always end to an important system disputes to be able to apply machine learning foundation. The paper also discusses the disputes and problems in the way of taking care of Big Data categorization representing geometric techniques of learning along with the existing technologies of Big networking. The study particularly explains challenges that have a relationship with the combined directed by the techniques one learns, machine long learning techniques, and representation-learning techniques and technologies that are related to Big Data for example Hive, Hadoop and Cloud that are basics that enhances problem-solving that gives relevant solutions to classification problems in traffic networking.

     

     

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    Mohammad Al-Sharo, Y., Shakah, G., Sh.Alkhaswneh, M., Zeyad Aljunaeidi, B., & Bader Alazzam, M. (2018). Classification of Big Data: Machine Learning Problems and Challenges in Network Intrusion Prediction. International Journal of Engineering & Technology, 7(4.36), 1189-1193. https://doi.org/10.14419/ijet.v7i4.36.25381