Network intrusion detection method based on improved convolutional neural network
A convolutional neural network and network intrusion detection technology, applied in the field of network information security, can solve problems such as overfitting and poor generalization ability, and achieve the effect of improving feasibility and effectiveness and good convergence effect
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[0031] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the following embodiments in no way limit the present invention.
[0032] Such as figure 1 , figure 2 As shown, the network intrusion detection method based on the improved convolutional neural network provided by the present invention includes the following steps carried out in order:
[0033] 1) The S1 stage of obtaining the data set: obtain the NSL-KDD CUP data set consisting of three sub-data sets including the training set KDDTrain, the test set KDDTest+ and the test set KDDTest-21 from the GitHub official website, and then enter the S2 stage;
[0034] 2) S2 stage of numerical processing: perform numerical processing on the data in the training set KDDTrain, test set KDDTest+ and test set KDDTest-21 obtained in step 1), respectively, for the attributes of the three types of data of the protocol_type feature: TCP, UDP and ICMP are enco...
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