A hybrid cloud-based information security management and control method and system

By dividing data into non-fixed data blocks, obtaining their attribute characteristics and building a judgment strategy matrix to determine the storage location, the privacy and security issues in cloud computing are solved, and more efficient and secure data management is achieved.

CN120145423BActive Publication Date: 2025-09-12BOHAI UNIV
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Patent Information

Application Number
CN202510273759.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-03-10
Publication Date
2025-09-12
Estimated Expiration
2045-03-10

AI Technical Summary

Technical Problem

Privacy and security issues in cloud computing have not been effectively addressed, resulting in insufficient security and becoming a stumbling block to the promotion of cloud computing.

Method used

By dividing the data into multiple data blocks of irregular sizes, obtaining the attribute characteristics of the data blocks and normalizing them, using the random forest model to determine the weight data, constructing the interest matrix and judgment strategy matrix, deciding whether the data blocks are stored in a private cloud or a public cloud, and real-time monitoring and dynamic adjustment of weights and scoring thresholds.

Benefits of technology

It achieves more efficient and secure data management, determines the storage location through the multi-dimensional attribute characteristics of data blocks, and enhances data privacy security and management efficiency.

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Abstract

The present invention relates to the field of information security technology, and in particular to an information security management and control method and system based on a hybrid cloud. The method includes: dividing data into multiple data blocks of unfixed size; obtaining attribute feature data of the data blocks and performing normalization processing, the attribute feature data including sensitivity, access frequency, business attributes and data block size; using a random forest model to determine the weight data of each attribute feature, constructing an interest matrix based on the attribute feature data and the weight data of the attribute features, and generating a judgment strategy based on the interest matrix to obtain a judgment strategy matrix; based on the judgment strategy matrix, judging the storage location of the corresponding data block. The present invention determines whether the data blocks should be stored in a private cloud or a public cloud by dividing the data into data blocks of different sizes and fusing multiple attribute features of the data blocks, thereby achieving more efficient and secure data management.
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