A neuro-symbolic classifier with optimized satisfiability for monitoring security alerts in network traffic

HIGHLIGHTS

• who: Darian Onchis and collaborators from the Department of Computer Science, West University of, have published the Article: A Neuro-Symbolic Classifier with Optimized Satisfiability for Monitoring Security Alerts in Network Traffic, in the Journal: (JOURNAL)
• what: By introducing the reasoning in the model the aim is to further reduce the human staff needed to deal with the cyber-threat hunting problem. While in terms of standard accuracy both models demonstrated similar precision the authors further introduced for the model the concept of interactive accuracy as a way of querying the model results at any . . .
  

   

  

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