| Title | Data Interface Matching and Information Security Measurement of Scientific and Technological Innovation Measurement Analysis and Multi-Agent Economic MIS |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Ying, Ma, Tingting, Zhou |
| Conference Name | 2022 International Conference on Edge Computing and Applications (ICECAA) |
| Keywords | Behavioral sciences, compositionality, Correlation, Data Interface Matching, Economics, Information security, Information Security Measurement, Metrics, Multi-Agent Economic MIS, pubcrawl, resilience, Resiliency, Scientific and Technological Innovation, Scientific Computing Security, security, Solid modeling, Technological innovation |
| Abstract | This paper establishes a vector autoregressive model based on the current development status of the digital economy and studies the correlation between the digital economy and economic growth MIS from a dynamic perspective, and found that the digital economy has a strong supporting role in the growth of the total economic volume. The coordination degree model calculates the scientific and technological innovation capabilities of China's 30 provinces (except Tibet) from 2018 to 2022, and the coordination, green, open, and shared level of high-quality economic development. The basic principles of the composition of the security measurement are expounded, and the measurement information model can be used as a logic model. The analysis of security measure composition summarizes the selection principle and selection process of security measurement, and analyzes and compares the measure composition methods in several typical security measurement methods. |
| DOI | 10.1109/ICECAA55415.2022.9936464 |
| Citation Key | ying_data_2022 |
Data Interface Matching and Information Security Measurement of Scientific and Technological Innovation Measurement Analysis and Multi-Agent Economic MIS