Secure storage of Multi-level Classified Computer Data Based on the Combination of Differential Evolution Algorithm

Storage security of multi-level classified data is a vital core link in the construction of a national information system. Given the current problems of relatively long time consumption for storage, high CPU occupancy, high congestion rate, and poor anti-attack performance in the application of Hadoop technology to store multi-level classified data, a secure storage system for multi-level classified data based on the combination of differential evolution algorithm is proposed and designed in this paper. The secure storage system for multi-level classified data, including a client, a relay control server, and a storage server is preliminarily designed. The security performance of the multi-level classified data such as integrity, confidentiality, authentication mechanism, and access control strategy, are analyzed in detail. The system performance test results suggest that the system designed can implement secure and rapid storage of multi-level classified data while reducing the CPU occupancy and system congestion rates at the same time.