Detection of improved collusive interest flooding attacks using bo-gbm fusion algorithm in ndn

HIGHLIGHTS

• who: -Bo-gbm fusion algorithm and collaborators from the (UNIVERSITY) have published the paper: Detection of Improved Collusive Interest Flooding Attacks Using BO-GBM Fusion Algorithm in NDN, in the Journal: (JOURNAL)
• what: The Research Status of CIFA Xin et_al first proposed the concept of CIFA and Wavelet Analysis was used to detect CIFA. Specially, they outperform other detection methods in attack detection , , so the authors design a stronger classifier to combine them below. To obtain the model with the best generalization ability and the best predictions, the remaining 1-fold training set is used . . .
  

   

  

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