Data Storage Integrity Detection Based on Modular Lattice Algorithm in Cloud Storage Environment
After data are saved in a cloud storage environment,it is necessary to rely on proof of data ownership to detect the integrity of data storage.The calculation for each verification is relatively large,resulting in a longer time for integrity detection.To address this,a data storage integrity detection method based on modular lattice algorithm in a storage environment is proposed.Based on the hot spot tracking data partitioning technology,the storage data sub blocks are to be detected.A multi-branch path tree containing numerous leaf nodes based on data blocksis built,and the dynamic update of data blocks is verified through hash value matching.The study considers three participating entities for data storage integrity detection,establishes a verification mechanism that includes six algorithms,and guides the specific process of integrity detection.Finally,the modular lattice algorithm is used to achieve data storage integrity detection.The experimental results show that when the data volume is 1 024 MB,the time cost of using the proposed method for data storage integrity detection is only 3.5 s,which meets the requirements of cloud storage data detection.
万方数据
维普
