# A Novel Cryptography-Based Architecture for Secure Data Asset Sharing and Circulation Systems
## 6 System Implementation
### Security Cross-Domain Return Module  
In the security cross-domain return function module, multi-dimensional data such as geographic information, performance indicators, network topology and operation logs are called and integrated through various interfaces, and components such as Amap, smart table, network topology diagram, data flow diagram and data search view are used to realize multi-view presentation and analysis in the whole process of cross-domain return of data assets, so as to timely discover potential security risks through real time monitoring, anomaly detection and status analysis, as shown in Figure 12.  
In the Amap, the CPU, memory and disk load of each transmission node are displayed through a ring diagram. Managers can quickly identify nodes with abnormal load and intuitively perceive the overall running status of the data asset backhaul process through node size and color changes. In addition, through the spatial distribution characteristics of the map, the geographical distribution law of each node deployment can be analyzed, and potential regional failure risks and network attack risks can be found. The radar chart design embedded in the smart table makes the comparison of multi-dimensional performance indicators (CPU load, memory load, disk load) more intuitive. Managers can quickly identify abnormal nodes through the shape changes of the radar chart, and conduct in-depth analysis through the sorting and filtering functions of the table. In addition, through real-time monitoring of indicators such as online status and network speed, network anomalies and offline nodes can be found in time. The connection relationship between transmission nodes is shown in the network topology diagram. Through the Dagre layout algorithm, managers can clearly observe the hierarchical relationship and connection pattern between nodes, and then identify key nodes and potential single point failure risks. At the same time, through node dragging and layout adjustment, the network structure can be optimized and the reliability and performance of data asset transmission can be improved. In the data flow diagram, the relevant data flow directions of all data with different characteristics are displayed, including key information such as operation stage (issued configuration/unissued configuration/information synchronization), operation module, operation type and operation IP. Through the visualization effect of data flow view, managers can analyze the data flow in different operation stages and identify bottlenecks and anomalies in the process of configuration delivery and synchronization. The data search view provides functions such as data filtering, status filtering and resetting. By adding  
Figure 12: Security cross-domain return module interface in secure data asset sharing and circulation systems.  
data filtering conditions, dynamic filtering and filtering of data are realized. Using multi-condition combination queries, managers can quickly locate specific types of operation records, analyze operation modes and abnormal situations and identify high-frequency operations and potential operational risks according to the statistical display of the number of operations.