Passtcn-ppll: a password guessing model based on probability label learning and temporal convolutional neural network

HIGHLIGHTS

• who: Junbin Ye and colleagues from the Institute of Semiconductors, Chinese Academy of Sciences, Beijing, China University of Chinese Academy of Sciences, Beijing, China have published the research: PassTCN-PPLL: A Password Guessing Model Based on Probability Label Learning and Temporal Convolutional Neural Network, in the Journal: Sensors 2022, 22, 6484. of /2022/
• what: The authors propose password-guessing model based on the network (PassTCN). To further improve the performance of the generated passwords the authors propose novel password probability label-learning method which reconstructs labels based on the password probability distribution of the training . . .
  

   

  

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