Classification of normal and malicious traffic based on an ensemble of machine learning for a vehicle can-network

HIGHLIGHTS

• who: Firstname Lastname and collaborators from the Electrical Engineering and Computer Science, Florida Atlantic University, Glades Road, Boca Raton, FL, USA have published the research work: Classification of Normal and Malicious Traffic Based on an Ensemble of Machine Learning for a Vehicle CAN-Network, in the Journal: Sensors 2022, 22, 9195. of /2022/
• what: The authors design an effective machine learning-based IDS scheme for binary classification that utilizes eight supervised ML algorithms along with ensemble classifiers. The aim of any IDS is to identify network traffic patterns that may indicate suspicious activity. The authors . . .
  

   

  

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