Network Intrusion Detection Method Based on FCWGAN and BiLSTM

Table 1

CWGAN training algorithm.

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Algorithm 1: minority class sample generation based on CWGANs

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Input: , where is noise data, is class label

Output:

(1) /^∗CWGAN training^∗/

(2)   /^∗optimize discriminator^∗/

(3)   Sampling from

(4)   Sampling from

(5)      

(6)   

(7)  

(8)   from sample /^∗optimize generator^∗/

(9)   

(10)   

(11)

(12) /^∗generate samples^∗/

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where , , and respectively denote the network parameters and gradients of the generator and discriminator.