Sökning: "Pontus Egeberg Jacobson"

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  1. 1. Evaluating Machine Learning Intrusion Detection System classifiers : Using a transparent experiment approach

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Christian Augustsson; Pontus Egeberg Jacobson; Erik Scherqvist; [2019]
    Nyckelord :Network Intrusion Detection System; Intrusion Detection System; Machine Learning; Guidelines; Transparency;

    Sammanfattning : There have been many studies performing experiments that showcase the potential of machine learning solutions for intrusion detection, but their experimental approaches are non-transparent and vague, making it difficult to replicate their trained methods and results. In this thesis we exemplify a healthier experimental methodology. LÄS MER