Abstract: Aiming at the problems of poor edge security and limited storage effect of unstructured big data, a dynamic secure storage algorithm of unstructured big data based on edge computing is proposed. The unstructured big data is effectively analyzed and identified. The constructed data sensitivity level recognition model is used to establish and encrypt the sensitivity of unstructured big data. Based on edge computing and cloud computing, a cloud edge collaboration architecture is established, and the DCS-SOMP ( Distributed Compressed Sensing Simultaneous Orthogonal Matching Pursuit) algorithm written by the architecture is used to compress and collect encrypted data, so as to reduce data storage. Finally, the unstructured encrypted data is uploaded to each edge of the cloud side collaboration framework to realize the dynamic and secure storage of unstructured big data. Through experimental comparison, it is found that the robustness of storage test, metadata proportion test, encryption time-consuming test and bandwidth consumption is high, which ensures the practical application.

Key words: edge computing,  , unstructured big data,  , dynamic secure storage,  , data encryption