A proactive attack detection for heating, ventilation, and air conditioning (hvac) system using explainable extreme gradient boosting model (xgboost)

HIGHLIGHTS

• who: Irfan Ullah Khan and collaborators from the Information Technology, Imam Abdulrahman Bin Faisal University, POBox, Dammam, Saudi Arabia have published the research: A Proactive Attack Detection for Heating, Ventilation, and Air Conditioning (HVAC) System Using Explainable Extreme Gradient Boosting Model (XGBoost), in the Journal: Sensors 2022, 9235 of /2022/
• what: This study proposed proactive interpretable prediction model using ML and artificial intelligence (XAI) to detect different types of security attacks using the log data generated by and conditioning (HVAC) attacks. In the current study, the post-hoc XAI approach was used to make the . . .
  

   

  

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