Key segment storage method and device, computer device and storage medium
By storing the key in segments and constructing a linear regression function using a confusion factor and random numbers, the security problem of storing the key locally is solved, achieving higher security and concealment.
CN116192379BActive Publication Date: 2026-06-09KINGDEE DEEKING CLOUDCOMPUTING CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- KINGDEE DEEKING CLOUDCOMPUTING CO LTD
- Filing Date
- 2023-02-02
- Publication Date
- 2026-06-09
AI Technical Summary
Technical Problem
In existing technologies, the lack of effective protection when keys are stored locally makes them prone to leakage, thus reducing the security of key storage.
Method used
By encoding the original key, obtaining the target confusion factor and random number, constructing a linear regression function, selecting the current input value from the target value set in turn, analyzing the relationship between the number of iterations and the multiple of the confusion factor, generating and storing the final value in segments, the concealment and security of the key are enhanced.
Benefits of technology
It improves the security and concealment of key storage, prevents key leakage, and enhances the security and remoteness of the algorithm.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN116192379B_ABST
Abstract
The application relates to a key segmentation storage method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining an original key, encoding the original key to obtain a target value set; obtaining a target confusion factor and a target random number, and constructing a target linear regression function; sequentially selecting a current substitution value from the target value set, obtaining a current cycle number, analyzing the multiple relationship between the current cycle number and the target confusion factor to obtain a target analysis result; based on the target analysis result, substituting the current substitution value into the target linear regression function to obtain at least two current intermediate values; adding the at least two current intermediate values into a corresponding current intermediate value set to obtain at least two current intermediate value sets; repeating the operation of selecting the current substitution value until a termination condition is met, and obtaining at least two target result value sets; and sequentially splicing each value corresponding to the at least two target result value sets respectively to generate and store at least two final values. The method can improve the security of key storage.
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