An Intelligent Early Warning Support System for Financial Crisis based on Fully Homomorphic Encryption Algorithm

The financial crisis has an important impact on social and economic development, and the existing economic management methods cannot achieve massive data analysis, so on this basis This paper proposes an intelligent early warning support system for financial crisis based on fully homomorphic encryption algorithm to solve the problems of data privacy and security in the traditional early warning system. In this paper, the appropriate CKKS fully homomorphic encryption algorithm is used to implement encryption, decryption and homomorphic operations. The results show that the fully homomorphic encryption algorithm can be simplified, with a simplification rate of 10%, and polynomial adjustment can be realized, which can improve the early warning efficiency of financial crisis to 90%, which is better than the traditional method. Therefore, the financial crisis intelligent early warning system established in this paper can be used and promoted in an efficient and comprehensive manner.