Physical-Layer Channel Authentication for 5G via Machine Learning Algorithm

Algorithm 1

Physical authentication.

Input:

The channel information of legal transmitter or illgal transmitter:

Process:

1:Bob calculates the value of data set and from Alice and simulated Eve:

2:The data set are preprocessed by Bob:

3:The data set are divided into two parts, and the one is training data set and the other is testing data set:

4:Use training data set to get the weak classifier:

5:Use the Adaboost algorithm to generate a strong classifer:

6:The testing data set is used to verify whether the claasifier can achieve the target detection rate, otherwise it will return to

the first step:

7:The final classifier is the authenticaton decision model, which can judge whether the new packets are legitimate or illegal:

End