Data Validation via Segmented Position Mapping
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Solution Overview
Problem
Existing data validation solutions are inefficient due to the need to read and validate all data during each validation process, particularly in scenarios requiring frequent validation, such as firmware security validation.
Innovation Solution
A data validation method that divides acquired data into segments, performs calculations on each segment to obtain results, and searches for corresponding data within the original data set, associatively storing the position and calculation result relationships to enable efficient validation by accessing only specific data positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all to-be-validated data is read from storage apparatus during each validation, then data validation completeness is ensured, but validation time increases significantly
Solution Approach 1:
The patent divides the original data into multiple data segments and generates separate validation results for each segment. During validation, only specific segments need to be read and validated rather than the entire dataset, significantly reducing validation time while maintaining completeness through systematic segment verification
Solution Approach 2:
The patent performs preliminary processing by dividing data into segments and generating validation results before actual validation occurs. This pre-computation of segment boundaries and validation criteria enables faster execution during the actual validation process without compromising thoroughness
2Reliability
If frequent validation is performed to ensure data security, then data tampering detection capability is improved, but system performance degradation occurs
Solution Approach 1:
By segmenting data into smaller units with individual validation results, the patent enables selective validation of only necessary segments during frequent checks. This reduces the computational overhead and I/O operations required for each validation, allowing frequent validation to occur without significantly impacting system performance
Solution Approach 2:
The patent implements partial validation by reading and validating only specific data segments rather than the complete dataset during each validation operation. This partial action approach provides sufficient security detection capability while minimizing the performance impact of frequent validation operations
3Productivity
If data is divided into segments and only specific positions are accessed during validation, then validation efficiency is improved, but data structure complexity increases
Solution Approach 1:
The patent organizes data into clearly defined segments with associated validation results, creating a structured approach that improves validation efficiency. The segmentation provides a systematic framework that, while adding some structural elements, enables much faster validation through selective segment access
Solution Approach 2:
The patent creates validation result data that mirrors the segmented structure of the original data. This copying approach maintains structural simplicity by using the same segmentation framework, allowing efficient validation through comparison without requiring complex additional data structures
Data Source
AI summary
A data validation method and a system are disclosed. At least part of first data acquired from a storage apparatus is divided into at least one data segment; calculation for each of the at least one data segment is performed to obtain at least one calculation result; for each of the at least one calculation result, data that conforms to a constraint relationship with the calculation result is searched for from the acquired first data, and a position of the data obtained through the searching in the first data is determined; a correspondence relationship between the position and the calculation result is associatively stored. Thus, when validation of the first data in the storage apparatus is performed subsequently, only the data at a specific position in the first data needs to be acquired from the storage apparatus, so efficiency of data validation may be improved.