Data Integrity Verification Algorithm of Accounting Informatization Cloud Based on Genetic Optimization Neural Network

As an emerging storage method, storage is favored by users due to its advantages of large storage space, high flexibility, and low storage cost. In the process of rapid development of cloud storage, its security is also particularly important, especially in terms of data integrity verification. When a user uses cloud storage, the data is stored in the cloud, and the user will no longer have any backup of the data locally. Once the cloud device fails or is attacked by an intruder, the user data will be damaged or even lost. Firstly, the accounting data informatization system based on this technology is analyzed, and the overall structure of the system and the network topology of cloud storage data are given; then the existing single-user data verification algorithm is improved, and the multi-user parallel verification algorithm is applied to accounting Informatization in order to reduce the number of verifications. The experimental results show that the multiuser parallel verification algorithm can ensure the integrity and consistency of data files.