Big Data Security Storage Based on Hybrid Large-scale Database

Abstract

With the development and progress of network technology, hidden dangers of network security have also become a threat to network storage systems. This research mainly discusses the secure storage of big data based on hybrid large-scale databases. The user sends an authentication request to the SSP, and the SSP verifies the user’s time stamp ts to ensure that it is not a replayed message, and checks whether the user ID is legal. The virtualization layer logically divides the hardware devices at the facility layer through virtualization technology, provides unified services to the outside world, and supports the operation of the platform layer; the platform layer builds a file system and database to provide an operating environment for the operation layer; the operation layer provides users with a big data environment resource access behavior and platform traffic are reasonably allocated and managed, platform business deployment, etc.; the application layer provides users with big data computing services. During the file download process, the big data storage module is relatively fast (300-600k/s), while the speed of Seccloud and invisible cloud is relatively slow (200-400k/s). This research helps to improve the data access efficiency of the big data secure storage module.

Enterprise data security storage integrating blockchain and artificial intelligence technology in investment risk management

“…Its loss or leakage might have major repercussions for the company. The inability of the management to obtain the property information will increase the risk of foreign investment [1]. People's expectations for data storage security and privacy are continually evolving as a result of the close relationship between network technology and people's professional and personal lives.…”