Protocol reverse analysis method based on message matching and GRU-ATT
Aiming at the problem of message classification in unknown network protocol reverse analysis,we pro-pose an unknown network protocol reverse analysis method based on message interaction matching and GRU-ATT model,named MemProRe.Coupled with multiple sequence alignment and deep learning methods,it adopts CNN-GRU-Attention network based on attention mechanism.Under the condition of consistency constraint of the interaction message set between the client and the server,the features of the double-end message classifica-tion results are fused to realize the message classification.The experimental results demonstrate that the MemPro-Re can effectively solve the problem of redundancy of message classification and improve the accuracy of message classification more than 10％.
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