Research Article
[Retracted] CLD-Net: A Network Combining CNN and LSTM for Internet Encrypted Traffic Classification
| Input: raw network traffic dataset ; number of traffic classes ; | | Output: packet matrix ; | (1) | for each do | (2) | Randomly select consecutive 10 packets in ; | (3) | 10 consecutive packets consist a flow , that is, the number of is ; | (4) | Randomly divide the into a training set and a testing set in proportion; Traffic split; | (5) | for each do | (6) | for each packet do | (7) | Trim and uniform length of 256 bytes, payload ; Traffic clean; | (8) | Recombine ; Traffic recombination; | (9) | Generate the grayscale image format to get the packet matrix, ; Traffic conversion; | (10) | end for; | (11) | end for; | (12) | end for; | (13) | return Packet matrix; |
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