Research on Accounting Data Encryption Processing System based on Artificial Intelligence

Abstract

To address the issues of low confidentiality and poor real-time performance in the encryption process of accounting system data, a proposed solution based on artificial intelligence is presented. Firstly, by studying the knowledge and reasoning abilities utilized by artificial intelligence technology to simulate human experts in solving complex problems, the fundamental structure of the accounting system is obtained. Then, the data prior to encryption is processed using the wavelet denoising method to eliminate noise points from the data. Additionally, a chaotic parameter modulation encryption method is introduced, utilizing a logistic chaotic mapping model to modulate the data parameters. Simultaneously, during encryption and decryption analysis, iterative criteria for data parameters are established to reduce the number of iterations and achieve real-time data encryption. Finally, experimental results demonstrate that this method possesses higher efficiency in terms of real-time performance, integrity, and confidentiality, providing superior real-time data encryption capabilities.