A novel prediction model for malicious users detection and spectrum sensing based on stacking and deep learning

HIGHLIGHTS

• who: Salma Benazzouza and collaborators from the RITM Laboratory, CED Engineering Sciences, Hassan II University, Casablanca, Morocco Charlotte, NC, USA have published the article: A Novel Prediction Model for Malicious Users Detection and Spectrum Sensing Based on Stacking and Deep Learning, in the Journal: Sensors 2022, 22, 6477. of /2022/
• how: The presence of malicious users leads to harmful interferences in the system by transmitting incorrect local observations.To overcome this security related problem and to improve the accuracy decision of in cooperative cognitive radio networks the authors proposed new approach two machine learning solutions . . .
  

   

  

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