Research on Secure Storage and Retrieval of Private Data and Optimization of Data Fusion Algorithm in Cloud Computing Environment

This project intends to study the multi-source information fusion method based on ICKPDA to solve the problems of data tampering and privacy disclosure that may occur in wireless sensor network data fusion. A privacy-based seed method is proposed to conceal sensitive information. The protection of data privacy is improved by means of segmentation and aggregation. We obtain mobile confidential information through non-destructive compression. The symmetric key is used to encrypt the compressed information symmetrically, and the original password is obtained. The ciphertext is then divided into two parts: one part adds the time-domain information and packages it as MDSO for storage in the cloud. Then a part of the ciphertext group is solved by Lagrange polynomials, and the corresponding ciphertext group is obtained by adding it to the symmetric ciphertext sequence. Experiments show that compared with other methods, ICKPDA can realize the integrity check and security of information at a lower cost, and can ensure the accuracy of images.