A binarized neural network approach to accelerate in-vehicle network intrusion detection

HIGHLIGHTS

• who: Detection and colleagues from the (UNIVERSITY) have published the article: A Binarized Neural Network Approach to Accelerate In-Vehicle Network Intrusion Detection, in the Journal: (JOURNAL)
• what: To accelerate intrusion and also reduce memory and energy costs the authors propose a new IDS system using Binarized Neural Network (BNN). The authors evaluate BNNs with different designs. To overcome those limitations of deep-learning based IDSs and protect CAN against vehicle cyber attacks, the authors propose a new IDS based on Binarized Neural_Network (BNN) that uses binary values for activations and weights instead of full . . .
  

   

  

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