Cognitive Covert Traffic Synthesis Method Based on Generative Adversarial Network

Algorithm 1

WCCGAN, our proposed algorithm.

• parameters: learning rate (α) =0.01; alpha(γ) =0.99; batch size (m); change threshold(λ) =1.5;

• require: generator parameters (); discriminator parameters (); generator loss change rate (); discriminator loss change rate(); Wasserstein Distance change rate(); Wasserstein Distance(); Functional Equivalent(FE); Cognitive Equivalent(CE);

1: while has not converged do

2: For I = 1,….,m Do

3: Covert traffic data

4: Noise sample ; Interpolation sampling of samples

5:

6:

7: If>Then // dynamic parameter update strategies

8:  = α · RMSProp (γ,)

9: Else

10:  = α · RMSProp (γ,)

11: end

12: If

13: 

14: Else ifThen

15: 

16: Else ifThen

17: 

18: End for

19: If

20: 

21: Else

22: End while