• Detecting attacks on servers using machine learning models 

      Lindbäck, Hans Victor Andersson (Master thesis; Mastergradsoppgave, 2019-06-28)
      With today's storage of information moving from paper to physical hard drives and the cloud, safety of these new information platforms are of great importance. Today an average server suffers several instances of abuse weekly, or even daily. The purpose of this project is to design a system for detecting abusive data traffic coming to or from a server by using machine learning algorithms. Also of ...