A method of intrusion detection based on cvae-gan
A CVAE-GAN, intrusion detection technology, applied in the field of intrusion detection, can solve the problem of low detection rate and achieve the effect of solving the low detection rate of data
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[0039] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings, but the present invention is not limited.
[0040] figure 1 Shows the CVAE-GAN network structure;
[0041] (1) Input stage
[0042] (1) The input of the CVAE-GAN algorithm must be a two-dimensional image, and the sequence data with a low detection rate in the original data set needs to be converted into a two-dimensional image. Therefore, the training set is converted into a matrix format of 128×128 images by reducing the loss of quantization and normalization.
[0043] (2) Define a batch of samples x r and category c r , which is required to conform to the probability distribution of real data.
[0044] (2) Encoder E stage
[0045] In the CVAE-GAN model mentioned in the present invention, the encoder network E uses GoogleNet, and the category information and images are fused in the last fully connected layer of the network, and x r , c...
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