An efficient cnn-based deep learning model to detect malware attacks (cnn-dma) in 5g-iot healthcare applications

HIGHLIGHTS

• who: Ankita Anand et al. from the Chitkara University Institute of Engineering and Technology, Chitkara University, Chandigarh, India have published the paper: An Efficient CNN-Based Deep Learning Model to Detect Malware Attacks (CNN-DMA) in 5G-IoT Healthcare Applications, in the Journal: Sensors 2021, 21, 6346. of /2021/
• what: In this Article a new deep learning model (CNN-DMA) is proposed to detect malware attacks based on a classifier- Convolution Neural Network (CNN). Are retrieved on the Malimg dataset where 25 families of malware are fed as input and the model has detected is . . .
  

   

  

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