| Title | A Research on the Selection of Cooperative Enterprises in School-Enterprise Joint Cryptography Laboratory |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Qi, Jiaqi, Meng, Hao, Ye, Jun |
| Conference Name | 2022 International Conference on Artificial Intelligence in Everything (AIE) |
| Date Published | aug |
| Keywords | Analytical models, Comprehensive evaluation, Correlation, cryptography, cryptology, Entropy, entropy weight method, Fuzzy Cryptography, grey correlation analysis, Indexes, mathematical analysis, Metrics, pubcrawl, reliability, resilience, Resiliency, Scalability, School enterprise joint laboratory |
| Abstract | In order to better cultivate engineering and application-oriented cryptographic talents, it is urgent to establish a joint school enterprise cryptographic laboratory. However, there is a core problem in the existing school enterprise joint laboratory construction scheme: the enterprise is not specialized and has insufficient cooperation ability, which can not effectively realize the effective integration of resources and mutual benefit and win-win results. To solve this problem, we propose a comprehensive evaluation model of cooperative enterprises based on entropy weight method and grey correlation analysis. Firstly, the multi-level evaluation index system of the enterprise is established, and the entropy weight method is used to objectively weight the index. After that, the grey weighted correlation degree between each enterprise and the virtual optimal enterprise is calculated by grey correlation analysis to compare the advantages and disadvantages of enterprises. Through the example analysis, it is proved that our method is effective and reliable, eliminating subjective factors, and providing a certain reference value for the construction of school enterprise joint cryptographic laboratory. |
| DOI | 10.1109/AIE57029.2022.00129 |
| Citation Key | qi_research_2022 |
A Research on the Selection of Cooperative Enterprises in School-Enterprise Joint Cryptography Laboratory