## 5 Experimental Results and Analysis
### Security Analysis
The efficiency situation is shown in Figure 10; we can observe that because the edge transmission does not consider the security degree of the transmission path, adopts the same encryption method, does not have a unified key replacement mechanism, does not have a rotation mechanism for different encryptions, and is more likely to be exploited by others, it can easily lead to the leakage of the data. And the cloud, although it adopts the dedicated single line transmission, which can guarantee the security of the data, because the cloud is usually located farther away from the edge nodes, the transmission delay brought about by a long transmission distance is higher. Although the cloud adopts a dedicated single-line transmission, which can guarantee data security, because the cloud is usually located far away from the edge nodes, the transmission distance is far, which brings high transmission delay and cannot guarantee that the low-latency tasks can be effectively executed. The transmission architecture based on cloud-edge collaboration has periodic key update and cloud security supervision, which can look at the collaboration path problem between enterprises from the historical perspective and ensure that the data  
Figure 9: Relationship between transmission mode and security. of the enterprise collaboration are not leaked. Multiple key encryption mechanisms can take into account the efficiency under the circumstance of maximizing the security. The different encryption algorithms used are shown in Figure 11. When the number of encryption rounds is 12, it takes about 2000 ms to encrypt the data of a 256 MB file, and when the number of encryption rounds is 24, it takes 5000 ms to encrypt a file of the same size, so the security grading of files with different security levels can effectively reduce the latency brought by encryption. In this paper, from the perspective of security and transmission delay, we propose the secure transmission score (\(ST\)), which is calculated as follows (9):  
\[ST=\alpha_{T}e^{-\frac{\max(T)}{\max(T)}}+\alpha_{L}e^{-\frac{\max(L)}{\max(L)}} \tag{9}\]  
where \(\max(T)\) is the maximum data throughput, which is unchanged in a certain system or architecture, and is determined by the performance of the enterprise equipment, data volume, etc. \(T\) is the time required for data transmission, \(L\) is the number of leaks caused by intrusion during data transmission, and \(\max(L)\) is the maximum number of leaks. \(\alpha_{T}\) and \(\alpha_{L}\) are the weights corresponding to the data throughput and the number of leaks. When \(T\) is larger, it means that the system data size is large, \(ST\) decreases, and the security transmission score will be reduced; when \(L\) is larger, it means that the system as a whole has a high number of leaks, \(ST\) decreases, and the security transmission score will be reduced as well. Bringing the experimental data into the formula yields the secure transmission score of the three transmission modes under different data sizes as shown in Figure 12.  
Figure 11: The relationship between time (ms) and size (MB) under different encryption methods. Figure 10: Relationship between transmission mode and time (ms). As seen from Figure 12, the transmission effect of cloud-edge collaboration is higher than that of cloud transmission and edge transmission at different collaboration numbers. The new architecture of industrial collaboration can synthesize the two advantages of the traditions, consider security and efficiency, ensure low-latency tasks, and solve the most common security and efficiency problems in industrial data transmission for enterprises.