# Machine Learning-Assisted Secure Random Communication System
## 5 Reception
### Demo Transmission  
Before analyzing the performance of the ML-RCS on a large number of binary bits, we tested it on fewer bits to better represent and understand the signals processed by the T and LR. The demo transmissions in this section demonstrate the proof-of-concept. In Figures 5-7, the communication consists of incoming binary bits and the corresponding noise sequence 'R' transmitted from the perspective of the T. This sequence is further followed by the received noise sequence 'Y,' which is predicted by \(\hat{\beta}\) and computed as \(\beta_{C}\) to retrieve binary bits from the perspective of the LR. We present the initial test of the binary stream of bits '0,1,0,1' in Figures 5-7. In this section, we vary one of the SkaSNSK factors responsible for the SkaSNSK (\(\alpha\), \(\beta\), and \(N\)) simultaneously. The other two parameters are fixed. We conducted this study to examine the trends for all possible combinations. Figure 5: Left diagram: Binary bits and transmitted noise sequence (R) at T (top two), received noise sequence (\(\Upsilon\)), classified beta \(\beta_{C}\), and corresponding retrieved binary bits at LR (bottom two); \(\alpha=0.6\), \(\Delta\beta=1.6\), \(N=15\). Right diagram: Binary bits and transmitted noise sequence (R) at T (top two), received noise sequence (\(\Upsilon\)), classified beta \(\beta_{C}\), and corresponding retrieved binary bits at LR (bottom two); \(\alpha=0.6\), \(\Delta\beta=2\), \(N=15\). Figure 6: Left diagram: Binary bits and transmitted noise sequence (R) at T (top two), received noise sequence (\(\Upsilon\)), classified beta \(\beta_{C}\), and corresponding retrieved binary bits at LR (bottom two); \(\alpha=0.8\), \(\Delta\beta=2\), \(N=15\). Right diagram: Binary bits and transmitted noise sequence (R) at T (top two), received noise sequence (\(\Upsilon\)), classified beta \(\beta_{C}\), and corresponding retrieved binary bits at LR (bottom two); \(\alpha=1.1\), \(\Delta\beta=2\), \(N=15\). Figures 5-7 show that the retrieval process at the T and LR improved with increasing the SkaSNSK responsible factors (\(\alpha\), \(\Delta\beta\), and \(N\)). Specifically, the predicted parameter values {\(\beta\) 1, \(\beta_{2}\),..., \(\beta_{N}\)} that carried a single binary bit had fewer errors when greater values of \(\alpha\), \(\Delta\beta\), and \(N\) were utilized by the T and LR. Figure 5 shows the transmitted noise sequence obtained by varying \(\Delta\beta\) while keeping the other two parameters fixed. Figure 5 (left diagram) represents the transmission with \(\Delta\beta=1.6\), where the T and LR utilize \(S_{\alpha=0.6}\) (\(\beta_{=0.8}\), \(\gamma=1\), \(\mu=0\)) for binary '1' and \(S_{\alpha=0.6}\) (\(\beta_{=-0.8}\), \(\gamma=1\), \(\mu=0\)) for binary '0'. However, in Figure 5 (right diagram), with \(\Delta\beta=2\), we use the random carriers \(S_{\alpha=0.6}\) (\(\beta_{=1}\), \(\gamma=1\), \(\mu=0\)) and \(S_{\alpha=0.6}\) (\(\beta_{=-1}\), \(\gamma=1\), \(\mu=0\)) for binaries '1' and '0,', respectively. Figures 5 and 6 indicate that increasing \(\Delta\beta\) from 1.6 to 2 results in fewer errors for the predicted \(\hat{\beta}\). This indicates a gradual increase in the BER performance of the ML-RCS with an increased \(\Delta\beta\). Similarly, we vary \(\alpha\) in Figure 6 while keeping \(\Delta\beta\) and \(N\) fixed to observe the trend. Specifically, in Figure 6 (left diagram), the T and LR utilize the following parameters: \(S_{\alpha=0.8}\) (\(\beta_{=1}\), \(\gamma=1\), \(\mu=0\)) for binary '1' and \(S_{\alpha=0.8}\) (\(\beta_{=-1}\), \(\gamma=1\), \(\mu=0\)) for binary '0'. However, in Figure 6 (right diagram), we use \(S_{\alpha=1.1}\) (\(\beta_{=1}\), \(\gamma=1\), \(\mu=0\)) and \(S_{\alpha=1.1}\) (\(\beta_{=-1}\), \(\gamma=1\), \(\mu=0\)) for binaries '1' and '0', respectively. As explained previously, in Figure 6, increasing \(\alpha\) from 0.8 to 1 has the same effect on the performance. The overall BER performance was expected to complement the results obtained in this study.