## 5 Experimental Results and Analysis
### Security Analysis  
To assess the performance disparity between the industrial collaborative architecture proposed in this paper and traditional information transfer methods, this section conducts algorithm simulations. Experimental cases are randomly generated based on the initial parameters, encompassing node and path information. The experiments are iterated 100 times for credibility. Table 3 outlines the characteristic parameters. The experimental environment is shown in Figure 7: Win10 i7-8750H and Win11 i7-12650H; the software used is Idea and Pycharm; and the development languages used are Java(17) and Python(3.9). The interval parameter in the table indicates that it will be generated randomly within the interval in the simulation, and the rate of change of intrusion re  
Figure 6: Algorithm operation flow chart. the first number of path intrusions is determined, subsequent path intrusions are generated at a random rate of change of intrusion. The experimental process is shown in Figure 8.  
The simulation first initializes the corresponding upstream and downstream nodes. Each downstream node will randomly select four upstream nodes for collaboration. When  
Figure 8: Safety experiment flow chart. Figure 7: Experimental topology diagram. \begin{table}
\begin{tabular}{c c} \hline \hline
**Parameter** & **Value** \\ \hline Number of downstream nodes & 100 \\ Number of upstream nodes & 110 \\ Unit node production & 4 \\ Unit node demand & 3 \\ Industry standard value & (0.1-0.2) \\ Number of path intrusions & (0–20) \\ Rate of change of intrusion & (0.7–1.3) \\ Number of rounds of cooperative maintenance & (3–5) \\ Historical safety weights & 0.4 \\ Maximum number of iterations & 100 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Simulation node parameter generation table. the number of collaboration of upstream nodes reaches the output, the collaboration will be rejected. The initial upstream enterprise set is \(E_{d}=\{E_{d1},E_{d2},E_{d3},\ldots,E_{d110}\}\), and the initial set of downstream firms is \(E_{u}=\{E_{u1},E_{u2},E_{u3},\ldots,E_{u100}\}\). We set the initial security degree to 0.7. In the next downstream enterprises, we pick the upstream enterprises to produce the collaboration, establish virtual connection, produce the path \(R_{E_{du}}\), and prepare to send the data. Each path has the probability of being compromised by others after intruding, and the Formula (8) for the probability of compromised leakage after being cracked (\(CLSP\)) is  
\[CLSP=1-(1-S)^{N_{R}} \tag{8}\]  
where \(N\) is the number of intrusions, \(R\) is the intruded path, and \(S\) is the leakage probability of the adopted encryption method. The results of the security degree assessment are shown in the following Figure 9; we can observe that the number of leaks between enterprises through the edge direct transmission is higher, while the number of leaks based on the cloud-edge supervised collaborative transmission and cloud transmission are both significantly lower than the edge transmission. At the initial stage, when there are fewer enterprises cooperating, the gap between the number of leaks of the three is not obvious, and with the increase in the number of enterprises joining, the number of enterprises' collaboration increases, and the gap between the security of the edge transmission and cloud transmission, cloud-edge collaborative transmission, gradually becomes obvious. It tends to be stabilized when the number of enterprises seeking to cooperate reaches 360, which indicates that at this time, due to the limitations in the production of the upstream, the number of enterprises cooperating in each round reaches saturation.