Resource efficient internet-of-things intrusion detection with spiking neural networks

HIGHLIGHTS

• What: The aim of the research was to classify attack subcategories according to the above features.
• Who: Miloš Živadinović and Dejan Simić from the Faculty of Organizational Sciences University of Belgrade have published the Article: Resource efficient Internet-of-Things intrusion detection with spiking neural networks, in the Journal: (JOURNAL)
• How: The authors have not used spike trains for the experiments and have decided to use the numeric representation of data to simplify the experiment. Although the authors have introduced the Izhikevich model previously in this paper the authors have decided to use . . .
  

   

  

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